<h2 id="isPasted">Introduction</h2><p>The industrial automation market is experiencing rapid growth. Valued at $188 billion in 2023, it is expected to reach $368 billion by 2031.<sup>1</sup> This growth reflects the increasing reliance on automation to enhance precision and efficiency in industrial processes.</p><p>As automation is embraced by various industries, autonomous systems that can function reliably in harsh conditions are becoming essential. While operating in extreme conditions, sensors of autonomous systems need to perform in extreme temperatures, humidity, vibrations, shocks, magnetic interferences, and more.</p><p id="isPasted">To address these challenges, Xsens has introduced the Sirius Series, a family of inertial measurement units (IMUs) designed to perform in extreme conditions. Comprising of Sirius IMU, Sirius VRU, and Sirius AHRS, this product line delivers true autonomy in marine, mobile robotics, agriculture, and mining applications. The article will explore how the Xsens Sirius Series performs reliably where traditional sensors struggle.</p><h2>What sets Xsens Sirius Series apart from conventional solutions?</h2><p>Accurate and reliable sensor data is vital for the dependable operation of autonomous systems. While they function well in normal environments, their shortcomings are exposed in challenging conditions.<sup>2</sup> These drawbacks are as follows:</p><h3>Limited Weather Resistance</h3><p>Traditional sensors struggle in harsh environments with extreme cold, salt exposure, high humidity, and dust. These conditions speed up wear and lead to frequent failures, driving up maintenance costs and reducing system reliability. Over time, this makes long-term operations more challenging and less efficient.</p><h3>Prone to Vibration Interference</h3><p>In industrial settings with heavy machinery, as well as offroading in rough terrain for agriculture and mining, traditional sensors often experience performance degradation. The constant vibrations from large equipment add noise and errors to the sensor data. As a result, orientation data becomes unreliable, which compromises the performance of autonomous systems.</p><h3>Complex Integration</h3><p>Integrating new sensors into legacy systems can be a challenging task. It typically requires significant software and hardware adjustments to ensure proper functionality. This often results in costly and time-consuming setup processes to integrate sensors into established workflows.</p><h3>How The Xsens Sirius Series Gets the Job Done</h3><p id="isPasted">The Xsens Sirius Series is engineered to address the challenges posed by extreme weather in industrial automation. The company relies on cutting-edge technology and design innovations to deliver performance where traditional sensors fall short.</p><p>Unlike technologies that rely on external signals, Xsens' Sirius Series uses internal components such as accelerometers, gyroscopes, and magnetometer to track motion and compute orientation (roll, pitch, and yaw). By processing acceleration, angular velocity, and magnetic field data through advanced sensor fusion algorithms, it accurately determines the device’s position and movement.</p><p>At the heart of the Xsens Sirius Series is its dual-processor design, which improves accuracy by efficiently handling sensor fusion, noise filtering, and real-time processing. This enables faster processing, lower latency, and power efficiency, making the IMU well-suited for dynamic real-time applications. Additionally, the rugged housing protects from extreme temperatures, high humidity, and saltwater.</p><h2>Key features and innovations in Xsens Sirius Series</h2><h3>Precise 3D Orientation Data</h3><p>The Xsens Sirius Series produces highly accurate 3D orientation data using several advanced technologies. These units feature a precise accelerometer, gyroscope, and magnetometer. The sensor fusion algorithm provides superior orientation estimates. Each sensor is tested in-house and factory calibrated. Analog filtering in the signal chain removes unwanted noise and shocks. This makes the Xsense Sirius sensors ideal for stabilization, motion tracking, and positioning.</p><h3>Built for Extreme Conditions</h3><p>The Xsens Sirius Series is engineered to withstand harsh environments. It meets MIL-STD-202 durability standards set by the U.S. Department of Defense, ensuring reliable performance under vibrations, shocks, and extreme temperatures. The sensors also carry an IP68 rating, which indicates they are dustproof and can withstand water immersion. The Xsens Sirius Series operates in temperatures from -40 to +85°C. It works reliably in any region from freezing Arctic conditions to scorching desert heat. This level of protection enhances longevity and minimizes maintenance costs in the long run.</p><h3>Resistance to Magnetic Disturbances</h3><p>Environments with a strong electromagnetic field or large ore deposits can throw off the reliability of 3D orientation sensors. The Xsens Sirius Series is designed to resist magnetic disturbances owing to its advanced magnetic models. Using specialized calibration techniques, filtering algorithms, and adaptive profiles, these sensors maintain reliable orientation data even in environments with magnetic interference.</p><h3>Easy Integration with Existing Systems</h3><p>Ease of integration is another standout feature of the Xsens Sirius Series. It features a plug-and-play software suite, a user-friendly software development kit (SDK), and APIs along with support for multiple interfaces and communication protocols. These tools allow for quick setup and compatibility with existing systems. The streamlined integration process reduces downtime, improves efficiency, and helps keep project costs under control.</p><h2>Versatility Across Industries</h2><p>The Xsens Sirius Series is adaptable for land, air, and underwater applications thanks to its precise inertial sensors and rugged build. Its wide temperature range and resistance to humidity, salt water, shock, vibration, and electromagnetic interference ensure reliability in varied conditions. This makes it a vital tool in various industries, including marine, agriculture, mining, and construction.</p><h3>Marine Industry</h3><p>The 3D orientation tracking offered by the Xsens Sirius Series delivers performance and reliability in both surface and sub-surface applications. These sensors provide precise navigation and stabilization for surface vessels, buoys, platforms, and sub-surface robotics such as ROVs (Remotely Operated Vehicles) and AUVs (Autonomous Underwater Vehicles). The MIL-standard IP68 rating ensures it withstands high humidity, salt spray, and sand. Submerged operations require a waterproof enclosure.</p><h3>Agriculture</h3><p>Modern precision agriculture relies heavily on autonomous machinery for tasks such as planting and harvesting. The Xsens Sirius Series offers accurate 3D orientation data, enabling autonomous tractors to navigate and operate efficiently, even in challenging terrains.<sup>3</sup> Additionally, its compact design integrates easily into drones for crop monitoring.</p><h3>Mining</h3><p>Mining operations take place in environments with high metal concentrations, which can disrupt standard navigation systems.<sup>4</sup> The Xsens Sirius Series, equipped with inertial sensor technology and magnetic resistance, overcomes this interference to maintain high accuracy. As a result, mining vehicles and equipment can operate with precision, even deep underground.</p><h3>Construction</h3><p>Construction sites are characterized by heavy machinery and high-vibration conditions. The Xsens Sirius Series features a vibration and shock-resistant signal pipeline with analog filtering, providing precise measurements and control for construction equipment, even amidst extreme vibrations.</p><p><span class="fr-img-caption fr-fic fr-dib"><span class="fr-img-wrap"><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1745823800577-Sirius+on+laptop+to+people+in+snow.png" style="width:100%px" class="fr-fic fr-dib" /><span class="fr-inner">Xsens Sirius team analyzing data in the Arctic.</span></span></span></p><p id="isPasted">Xsens out its Xsens Sirius series to the test in one of the world’s harshest environments, Lapland, Finland, to showcase its capabilities. Partnering with the Technical Research Centre of Finland (VTT), the company subjected the Xsens Sirius series sensors to extreme Arctic conditions.</p><p>The tests were carried out using VTT’s research vehicle, Heluna, with Xsens Sirius devices mounted at multiple points to capture a broad range of motion and orientation data. The data was collected under extreme cold conditions -32 degree C with temperatures close to 0 degree C serving as a reference point for comparison. As Heluna navigated Lapland’s snowy terrain, the sensors demonstrated thermal resilience while maintaining accurate performance in the freezing conditions.</p><p><span class="fr-img-caption fr-fic fr-dib"><span class="fr-img-wrap"><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1745823845016-Sirius+in+snow+storm+1.jpg" style="width:100%px" class="fr-fic fr-dib" /><span class="fr-inner">The data was collected under extreme cold conditions -32 degree C</span></span></span></p><p>These tests highlight the Xsens Sirius line-up’s capacity to provide reliable orientation data for autonomous systems in harsh environments. To learn more about the test, <a href="https://youtu.be/kiXObdUFUf4" id="isPasted">check out this YouTube video</a>.</p><p><span class="fr-video fr-deletable fr-fvc fr-dvb fr-draggable"><iframe width="640" height="360" src="https://www.youtube.com/embed/kiXObdUFUf4?&amp;wmode=opaque&amp;rel=0&amp;enablejsapi=1&amp;origin=https://www.wevolver.com" frameborder="0" class="fr-draggable"><span class="fr-mk"> </span><span class="fr-mk"> </span><span class="fr-mk"> </span><span class="fr-mk"> </span><span class="fr-mk"> </span><span class="fr-mk"> </span><span class="fr-mk"> </span></iframe></span></p><h2 id="isPasted">Conclusion</h2><p>The Xsens Sirius Series is designed for industries that require true autonomy in extreme conditions. With high-precision inertial sensors, a dual-processor architecture, and a rugged design, it delivers reliable performance where traditional sensors fall short. Its seamless integration ensures an easy transition into existing systems.</p><p>From marine to mining, the Xsens Sirius sensors are powering automation across industries. Their reliability has been proven in real-world tests, including in extreme Arctic conditions in Lapland, Finland.</p><p>For companies looking to stay ahead, the Xsens Sirius Series provides the precision and resilience needed to perform in demanding environments. Trusted brands including Leica Geosystems, Aeroprobe, Racelogic, and Kaarta are already leveraging Xsens Sirius technology. </p><p>If you are looking to integrate a robust 3D orientation sensor into your industrial automation projects, <a href="https://www.movella.com/products/sensor-modules/xsens-sirius-series?utm_source=backlink&amp;utm_medium=website&amp;utm_campaign=wevolver_sirius_article_march_2025">explore the Xsens Sirius lineup here</a>.</p><hr /><h3>Reference:</h3><p>1. https://www.meticulousresearch.com/product/industrial-automation-market-5172</p><p>2. https://www.monolithicpower.com/en/learning/mpscholar/sensors/sensor-design-interfacing-and-challenges/challenges-in-sensor-deployment</p><p>3. https://www.sacaeurope.com/2025/technical/endurance-meets-precision-with-xsens-sirius/</p><p>4. https://pmc.ncbi.nlm.nih.gov/articles/PMC9345603/</p>

Extreme temperatures, vibrations, and electromagnetic interference can disrupt sensor performance. The Xsens Sirius Series offers a solution with its accuracy and reliability, even in the most demanding conditions.

Leveraging cutting-edge inertial sensors to enable true autonomy in extreme conditions

<p><strong>How a continuous lookout system makes sea navigation safer</strong></p><p><strong>For ocean-going vessels, maintaining a constant lookout is a fundamental safety requirement. </strong>To avoid collisions, a ship’s captain needs to know which objects are in the sea, and where they are in relation to the vessel. This role is often performed in daylight hours by the ship’s officers, but their observations are prone to human error and cannot be maintained at night.</p><p><strong>Sentry AI: Continuous Vigilance for Safe Marine Operations</strong></p><p>This is why the <a href="https://www.sea.ai/product-sentry/" target="_blank" rel="noopener noreferrer">Sentry AI lookout system</a> from <strong>SEA.AI</strong> is so popular among owners of commercial vessels, search and rescue fleets, and private yachts. Providing a 360°, 24/7 view of the surrounding sea through thermal and vision cameras, <strong>it uses AI software to automatically recognise objects on the surface.</strong> The Sentry cameras accurately identify everything from boats and rafts to buoys, people, and even floating debris.</p><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1744791688011-A%26M+-+Case+Study+Sea.ai+Sentry+Overview-Small.png" style="width:100%px" class="fr-fic fr-dib" /></p><p><em>The Sentry AI lookout system uses two vision and two infrared cameras to scan the surface of the sea</em></p><p>This system acts as <strong>a complementary tool to radar and AIS transponders, </strong>providing high-resolution visual and infrared data for enhanced situational awareness. Trained on thousands of hours of infrared footage, <strong>the AI continuously learns and improves,</strong> sending automatic alerts for potential hazards such as approaching vessels or a person overboard.</p><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1744791775464-A%26M+-+Case+Study+Sea.ai+Marine+Monitoring+System.png" style="width:100%px" class="fr-fic fr-dib" /></p><p><em>The Sentry AI lookout system can be integrated with popular marine monitoring products</em></p><p>The Sentry’s four cameras must maintain a stable output for the AI software to work properly: the sea’s swell continuously shifts the camera’s field-of-view. <strong>To address this, it uses an IMU (Inertial Measurement Unit) from Xsens, </strong>which enables the Sentry system to cancel out the effect of roll, pitch and yaw on the cameras’ output.</p><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1744791807158-A%26M+-+Case+Study+Sea.ai+Sentry+on+Boat-Small.png" style="width:100%px" class="fr-fic fr-dib" /></p><p><em>Sentry AI lookout system deployed on a boat</em></p><p><strong>How an Xsens Sensor Ensures Stable Imaging in Dynamic Motion Conditions</strong></p><p>To ensure <strong>precise and stable imaging,</strong> the Sentry system integrates <a href="https://www.movella.com/products/sensor-modules/xsens-mti-2-vru" target="_blank" rel="noopener noreferrer">the Xsens MTi-2 motion sensor, </a><strong>a small form factor and high-performance Vertical Reference Unit (VRU).</strong> The open ocean’s continuous motion, caused by rolling waves, can disrupt the camera’s field of view, affecting the AI’s ability to track objects reliably.</p><p>By using <strong>real-time roll, pitch, and yaw measurements</strong> from the Xsens MTi-2, the Sentry system applies motion compensation, stabilizing images and preventing misclassification of objects. This is crucial for detecting patterns such as a <strong>distressed mariner waving for help,</strong> ensuring the AI correctly tracks and identifies objects over multiple frames.</p><p><strong>Philipp Stampfl, Product Manager at SEA.AI, </strong>chose the Xsens module because of its performance and reliability. <em>‘The first requirement is for accurate measurements at a high data rate to support compensation for the Sentry’s output, which operates at a rate of 8 frames/s output. Our rigorous evaluation showed that<strong> the Xsens module’s measurements are sufficiently accurate to produce excellent stabilisation</strong> and to enable tracking of objects, maintaining the object in the exact centre of the field of view.’</em></p><p>Designing for compact embedded systems requires motion sensors that <strong>are accurate, lightweight, and easy to integrate. </strong>According to Philipp Stampfl, <em>‘the compact design of the Sentry system called for a sensor that could be embedded directly into our hardware with minimal space and power requirements. <strong>The Xsens MTi-2 offered the ideal balance, by delivering reliable real-time roll, pitch, and yaw data in a small form factor.</strong> Its flexible integration, combined with consistent performance in dynamic motion conditions, made it a perfect fit for our application.’</em></p><p>The Sentry system with the Xsens MTi-2 on board is now deployed in hundreds of vessels worldwide, helping ship’s officers avoid collisions and contributing to the life-saving efforts of marine search and rescue vessels.</p>

With Xsens MTi-2 motion sensor

Improving Vessel Safety with Motion Sensing and AI Object Detection

<section id="isPasted"><p>The application of advanced sensors and navigation methods in Deep Trekker ROVs are utilized across a broad range of industries, including marine research, search and recovery, underwater inspection, aquaculture, offshore infrastructure maintenance, and environmental monitoring, to name a few.</p><p>With reliable positioning and navigation in complex underwater environments, Deep Trekker ROVs allow engineers, scientists, and business owners to conduct underwater operations with efficiency, accuracy, and reliability.</p><p><img data-fr-image-pasted="true" src="https://images.ctfassets.net/kzewhs8e6cvu/2pPsqeVVEJswEDyNlYWJq3/970485e2d8b1e002856c63eca7231f7d/IMG_4293.jpg" alt="PIVOT bottom view" class="fr-fic fr-dii"></p><p>Deep Trekker employs a suite of advanced sensors and methods to overcome the challenges of underwater navigation, enabling true underwater positioning. In this article, we explore the various types of sensors utilized by Deep Trekker, their performance comparisons, testing methodologies, and ongoing advancements in underwater navigation technology.</p></section><section><h2>Deep Trekker IMU Testing and Evaluation</h2><p>In our pursuit of refining underwater navigation, Deep Trekker has rigorously evaluated a spectrum of positioning systems, examining their operational complexities and real-world performance. Nemanja Kliska, Deep Trekker Team Lead and Autonomy Systems Engineer, provides insights into the nuanced distinctions between these systems, describing their functionalities and inherent trade-offs.</p><p>Navigating this intricate landscape, Deep Trekker has meticulously curated an optimized solution, fusing the DVL with the IMU to strike a delicate balance between cost-effectiveness and performance.</p><p>This approach mirrors market leaders, though at a fraction of the cost, thus democratizing access to cutting-edge positioning technologies.</p></section><section><h2>How Does the Deep Trekker System Compare to FOG IMUs?</h2><p>Aside from the exorbitant price point of FOG IMUs compared to the much more affordable MEMS, a crucial distinction lies in the impact of magnetic interference on heading stability.</p><p>Kliska notes, "While both MEMS and FOG IMUs offer accurate Dead Reckoning, FOG IMUs do not utilize a compass and therefore excel in environments with significant magnetic interference, such as near metal wrecks or ships. Their stability remains unaffected, ensuring precise navigation even in challenging conditions."</p><p>Another significant operational distinction is the pre-mission preparation required for FOG IMUs. Prior to starting a mission, FOG IMUs necessitate initialization on land, where they must remain stationary on stable, flat ground for a period typically ranging from 10 to 15 minutes.</p><p>This initialization process cannot be conducted aboard a vessel. This requirement highlights the need for careful planning and consideration of environmental factors when deploying FOG IMUs, contrasting with the more flexible deployment options offered by systems like Deep Trekker’s Dead Reckoning implementation with observation class ROVs.</p><p><img data-fr-image-pasted="true" src="https://images.ctfassets.net/kzewhs8e6cvu/NC15dnMN5waaIYzMWl6iB/9799cff97f79eed9899237280739a33f/new_gif.gif" alt="Quick deployment GIF for Dead Reckoning" class="fr-fic fr-dii"></p></section><section><h2>Underwater Navigational Challenges and Solutions</h2><p>Deep Trekker's navigation systems encounter diverse environmental factors, necessitating adaptive solutions. Kliska explains, "In scenarios like ship hull inspections, where magnetic interference is inevitable, MEMS IMUs, though prone to magnetic noise, provide flexibility and rapid deployment, making them ideal for dynamic applications." Deep Trekker has also developed different modes for its ROVs that can be switched in real-time to address and navigate issues arising from magnetic interference.</p><p>Kliska adds, “It’s also important to note that we have found that most of the magnetic interference happens near the engine room of the ship, allowing us to cover inspections of 95% of the submerged portions of the vessels virtually unaffected.” For the remainder, switching modes allows the ROV to continue the inspection without being affected by ferrous environments.</p></section><section><p>In this context of ship hull inspections, where precise navigation amidst magnetic interference is critical, MEMS IMUs provide a practical solution. Their ability to adapt to varying magnetic fields while maintaining agility and responsiveness enables effective maneuvering around obstacles and complex structures. This adaptability ensures that Deep Trekker's navigation systems remain effective and reliable, even in challenging maritime environments where magnetic interference is present.</p><p><img data-fr-image-pasted="true" src="https://images.ctfassets.net/kzewhs8e6cvu/76y0rV73H4Knpiq1h0jdGP/654a1b0426b093d3ada261e9c8bb45d7/gif-__ROV_MOVING_ALONG_HULL_OF_SHIP_WITH_TRACK_LINE_FOLLOWING.gif" alt="gif- ROV MOVING ALONG HULL OF SHIP WITH TRACK LINE FOLLOWING" class="fr-fic fr-dii"></p><p>By leveraging MEMS IMUs, Deep Trekker ROVs navigate through intricate underwater environments with agility and precision, allowing tasks such as ship hull inspections to be carried out efficiently and accurately. Despite the inherent challenges posed by magnetic interference, the flexibility and rapid deployment capabilities of MEMS IMUs ensure that Deep Trekker's navigation systems remain the ideal solution for underwater inspections and operations.</p></section><section><h2>Testing Methodologies and Performance Evaluation</h2><p>Deep Trekker employs comprehensive testing methodologies to validate IMU performance across various environments. Kliska outlines, "Our testing encompasses top-down validation, where ROVs navigate predefined courses to assess performance. Additionally, our bottom-up analysis involves analyzing sensor specifications and dynamic performance to refine our Sensor Fusion algorithms."</p><p>Top-down validation constitutes a cornerstone of Deep Trekker's testing approach. Within this framework, ROVs are tasked with navigating predefined courses, serving as real-world proxies to evaluate IMU performance under operational conditions. This methodological approach offers a holistic perspective, allowing Deep Trekker to explore the IMU's performance in scenarios mirroring actual field deployments.</p><p><img data-fr-image-pasted="true" src="https://images.ctfassets.net/kzewhs8e6cvu/52yLjMKxmpRua9syAK20zJ/03f82cd02b692059385384cf67b6e1f5/gif-__MISSION_PLANNER_ROV_MAP_POINTS_BEING_PLOTTED_AND_ROV_GOING_TO_POINTS.gif" alt="gif- MISSION PLANNER ROV MAP POINTS BEING PLOTTED AND ROV GOING TO POINTS" class="fr-fic fr-dii"></p><p>In parallel, bottom-up analysis forms an integral component of Deep Trekker's testing regimen. This analytical process requires a meticulous examination of sensor specifications and dynamic performance parameters. By exploring the intricacies of sensor behavior and responsiveness, Deep Trekker refines its Sensor Fusion algorithms, which serve as the bedrock for integrating data from multiple sensors to improve accuracy and reliability.</p></section><section><h2>Ensuring Reliability Through Real-World Validation and Customer Collaboration</h2><p>Kliska emphasizes the importance of real-world validation, stating, "In addition to in-house testing, we engage with customers to address specific challenges encountered in diverse environments. For instance, mitigating issues like depth-dependent error propagation in deep-sea operations requires tailored solutions and continuous refinement."</p><p>In deep-sea operations, errors can amplify with increasing depth due to environmental pressures and other factors. Addressing such issues requires more than just standard testing procedures; it necessitates the development of tailored solutions that are finely tuned to the unique conditions of deep-sea environments. This involves continuously refining algorithms and system components to ensure dependable performance at depths.</p><p><img data-fr-image-pasted="true" src="https://images.ctfassets.net/kzewhs8e6cvu/7pfpFrKdDWAlNHWfqjG270/5d60c9e8b8a3b8c224988922331ea332/image1.jpg" alt="underwater marine rov" class="fr-fic fr-dii"></p><p>Engaging with customers allows Deep Trekker to gather valuable feedback and insights from actual field operations, which is instrumental in identifying areas for improvement and innovation. By integrating customer experiences and specific use-case scenarios into the development process, Deep Trekker can create more robust and effective solutions that are precisely aligned with the practical demands of underwater exploration and inspection.</p><p>In essence, ensuring reliability in challenging environments is an ongoing process that blends rigorous testing with real-world application and customer collaboration. This dynamic approach enables Deep Trekker to not only meet but exceed the expectations of performance and reliability in some of the most demanding and unpredictable underwater environments.</p></section><section><h2>Deep Trekker’s Advancements in Sensor Fusion Algorithms</h2><p>Deep Trekker places a high priority on the stability of its algorithms and the redundancy of its sensors to enhance the reliability of its navigation systems. Kliska elaborates on the advancements in their Sensor Fusion algorithms, highlighting how these improvements are pivotal for maintaining accurate and stable navigation in challenging underwater environments.</p><p><img data-fr-image-pasted="true" src="https://images.ctfassets.net/kzewhs8e6cvu/4KKsmSZIZb87u2dJ7JgIob/239d1f47041ceced3f824d475a4442d7/Sequence_01__2_.gif" alt="Bridge Tech GIF - ROV features " class="fr-fic fr-dii"></p><p>"Our Sensor Fusion algorithms are designed to integrate data from a variety of sensors," Kliska explains. This integration process is dynamic, with the algorithms constantly recalibrating in real-time to ensure that the data remains stable and reliable, even as the conditions around the ROV change. This constant recalibration helps to smooth out any discrepancies or anomalies that might arise from individual sensor readings, leading to a more consistent and accurate navigational output.</p><p>Deep Trekker has also implemented robust recovery mechanisms within their systems. These mechanisms are crucial for maintaining operation in the event of a sensor failure. If one sensor experiences an issue or fails, the system can autonomously detect the problem and switch to backup sensors without interrupting the ROV's operation. This redundancy ensures that the vehicle can continue its mission seamlessly, providing a significant advantage in critical and time-sensitive underwater tasks.</p></section><section><h2>Mitigating Magnetic Distortions and Startup Time</h2><p>Drawing from empirical data, Deep Trekker's testing initiatives have unveiled inherent challenges, such as mitigating magnetic distortions that affect heading and accuracy. Nemanja recounts a ship hull inspection in Hamilton, ON, Canada, wherein deviations in reported heading necessitated manual compensations to align with actual trajectories, highlighting the nuanced calibration complexities inherent in mitigating magnetic disturbances. Deep Trekker addresses these challenges by employing Sensor Fusion algorithms designed to compensate for such errors.</p><p><img data-fr-image-pasted="true" src="https://images.ctfassets.net/kzewhs8e6cvu/5MSRKJ1sxvX7SYrQGkVMXa/6e443e90316c0815994f162112f5ee07/gif_-_UNCERTAINTY_CIRCLE_GROWING.gif" alt="gif - growing radar circles" class="fr-fic fr-dii"></p><p>Deep Trekker's commitment to user-centric design is evident in simplifying startup procedures, forgoing prolonged settling times characteristic of FOG based IMUs. By circumventing laborious calibration procedures and leveraging pre-calibrated sensor arrays, Deep Trekker expedites operational readiness, augmenting user convenience without compromising navigational integrity.</p><p>“Typically, a FOG IMU requires about 15 minutes of settling time and that's used to determine the sensor bias,” explains Kliska, “And so, with the higher end FOG based IMUs, you're required to put it on a flat, static surface where it's not moving while it's calibrating, so you can't start up on a boat. Then there's some other startup systems once you get in the water, you have to have DVL calibrate itself, so you have to move around until it gets a lock. Overall, it takes about 20-25 minutes of calibration before you can start running a mission.</p><blockquote><p><em>With the Deep Trekker system, you can deploy right away, and you can do that off a boat, too; you don't need to have it on the ground.”</em></p></blockquote></section><section><h2>Leveraging USBL and GPS Augmentation</h2><p>To enhance Dead Reckoning methodologies, Deep Trekker explores the symbiotic integration of absolute position sources, defined by USBL and GPS systems. While USBL technologies offer exceptional precision in open water environments, their effectiveness is limited due to acoustic reflections and background noise, necessitating meticulous setup considerations to mitigate environmental constraints.</p><p><img data-fr-image-pasted="true" src="https://images.ctfassets.net/kzewhs8e6cvu/44JQg30N2pCLOHc6yU6Mdz/b9f40ba7029563a751b89e4d74816d1a/usbl_graphic.png" alt="USBL infographic" class="fr-fic fr-dii"></p><p>Conversely, GPS systems have robust global positioning capabilities, albeit confined to surface operations, thus necessitating seamless transitions to Dead Reckoning methodologies when submerged.</p><p>Deep Trekker's strategic use of MEMS IMU and DVL configurations, combined with USBL and ROV GPS integration, delivers a versatile positioning suite adaptable to diverse operational requirements.</p></section><section><h2>Practical Validation and Future Prospects</h2><p>In summary, the incorporation of advanced sensors and positioning techniques transforms underwater navigation with Deep Trekker ROVs. By integrating IMU, DVL, USBL, and other state-of-the-art technologies like Dead Reckoning, Deep Trekker ROVs offer groundbreaking precision and reliability in navigating challenging underwater environments.</p><p>Deep Trekker's dedication to pushing the boundaries of underwater technology positions them as leaders in the field, offering pioneering solutions for underwater inspections and research. Continuously redefining the capabilities of underwater navigation, Deep Trekker is opening new avenues for exploration and innovation in marine industries while laying the groundwork for future discoveries and advancements.</p></section><section><h2><br></h2></section>

Operator viewing screen on ROV handheld controller.

Discover how Deep Trekker rigorously tests and evaluates IMU technologies, comparing MEMS and FOG systems to ensure precise underwater navigation for ROVs. 

Deep Trekker IMU Testing: A Detailed Look at MEMS and FOG Technologies

small boat deploying an ROV for marine research.

Discover the vital role of underwater positioning in marine science, and how remotely operated vehicles (ROVs) are leading the way in location tracking. 

Case Study: Environmental Monitoring and Pipeline Inspections with GreatPacific Consulting Ltd.

<p>The world is rapidly moving towards automation, with more and more autonomous vehicles and robots being used in across industries. As these machines look to venture deeper in harsher environments, from the depths of the ocean to the rugged terrain of construction sites, they need accurate and reliable sensors that can withstand even the harshest conditions. &nbsp;This is where Xsens Sirius comes in. &nbsp; &nbsp;</p><p>The Xsens Sirius is a new, high-end industrial-grade inertial sensor designed to deliver precise 3D orientation data in real-time, even in the most challenging environments, be it land air or (sub)sea This next-generation sensor builds upon the success of Movella's well-known Xsens MTi 100-Series.</p><p><strong>Sirius Series: Enabling true autonomy in harsh conditions</strong><strong><span contenteditable="false" draggable="true" class="fr-video fr-deletable fr-fvc fr-dvb fr-draggable"><iframe width="640" height="360" src="https://www.youtube.com/embed/Q2UhSYiUdHw?autoplay=1&amp;mute=1&amp;wmode=opaque&amp;rel=0" frameborder="0" allowfullscreen="" class="fr-draggable" data-lf-form-tracking-inspected-kn9eq4roawkarlvp="true" data-lf-vimeo-playback-inspected-kn9eq4roawkarlvp="true" data-lf-yt-playback-inspected-kn9eq4roawkarlvp="true"></iframe></span></strong><br></p><p id="isPasted">The Sirius Series boasts an array of cutting-edge features, including:</p><p><strong>Robust accuracy:&nbsp;</strong>Thanks to its dual-processor design, Xsens Sirius delivers accurate orientation data, ensuring reliable navigation in any environment. &nbsp;&nbsp;</p><p><strong>Vibration and shock resistance:&nbsp;</strong>The sensor is designed to withstand extreme vibration and shock without compromising accuracy. &nbsp;This is achieved through an advanced signal pipeline with analog filtering. &nbsp; &nbsp;</p><p><strong>Rugged &amp; reliable:&nbsp;</strong>Xsens Sirius is built to last. It has a rugged IP68 housing, meaning it's completely protected from dust and can be submerged in water. &nbsp;It can also withstand extreme temperatures, humidity, salt spray, sand, and electromagnetic interference.</p><p><strong>Easy-to-integrate:&nbsp;</strong>Xsens Sirius is designed for easy integration into your existing systems. &nbsp;It comes with a comprehensive software suite, a user-friendly SDK, and is backed by a strong partner network that includes NVIDIA, HESAI, ROS, and Matlab. &nbsp; &nbsp;</p><p><strong>Magnetic Immunity:&nbsp;</strong>Advanced magnetic models provide exceptional resistance against magnetic disturbances. &nbsp;&nbsp;</p><p><strong>Xsens Sirius is geared for a wide range of applications, including:</strong></p><p id="isPasted"><strong>Marine:</strong> Deployed on surface vessels and sub-surface robotics, such as remotely operated vehicles (ROVs) and autonomous underwater vehicles (AUVs) for precise navigation or stabilization, providing them with reliable heading- and roll/pitch data or support bathymetry mapping.&nbsp;</p><p><strong>Land based Mobile Robotics:</strong> Enabling precise navigation for diverse robotic applications, including indoor mobile robots (AMRs/AGVs) operating in dynamic environments and Outdoor Mobile Robots navigating through rough terrain.&nbsp;</p><p><strong>Precision Agriculture:&nbsp;</strong>Delivering accurate 3D orientation data for navigating and controlling autonomous agriculture machinery and smaller mobile robotics.</p><p><strong>3D Digital Mapping and Surveying:</strong> Supporting high-fidelity data capture and georeferencing for aerial, terrestrial, and subsea bathymetry mapping, enabling the creation of accurate and detailed maps and 3D models with e.g. Sonar, LIDAR and camera systems.</p><p><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzM0NTQ3MzA1MjUyLWltYWdlICgxNyktMS5wbmciLCJlZGl0cyI6eyJyZXNpemUiOnsid2lkdGgiOjk1MCwiZml0IjoiY292ZXIifX19" style="width: 100%px;" class="fr-fic fr-dib"></p><p id="isPasted"><strong>Market Growth and Demand</strong></p><p>The increasing need for robust, industrial-grade inertial sensors like Xsens Sirius is reflected in recent market analysis. This year’s High-end Inertial Sensors report by Yole Intelligence highlights the growing demand for IMUs in applications such as remotely operated vehicles (ROVs), autonomous underwater vehicles (AUVs), and autonomous mobile robots (AMRs and AGVs). These applications require high performance and vibration immunity, creating a significant market for high-end inertial sensors. In 2023 alone, this market generated $86 million, and it is projected to reach almost $100 million by 2029, with a steady annual growth rate of 3% (CAGR).&nbsp;</p><p>With its combination of accuracy, reliability, and durability, Xsens Sirius is set to become the go-to choice for engineers and developers working on autonomous applications in challenging environments. It's a powerful tool that can help push the boundaries of what's possible in the world of automation. To learn more about the Xsens Sirius series, please visit the <a href="https://www.movella.com/products/sensor-modules/xsens-sirius-series" target="_blank" rel="noopener noreferrer">website</a>.&nbsp;</p>

The all new Xsens Sirius series has been engineered to enable true autonomy in harsh conditions

Get Sirius about 3D Inertial Sensing in the Most Challenging Environments

operator piloting underwater ROV on Deep Trekker handheld controller

Discover the essential role of underwater positioning, and how remotely operated vehicles are advancing accuracy in underwater inspections and surveys.

Underwater Positioning 101: Navigating the Depths with ROVs

<section id="isPasted"><p>When it comes to inspections in the maritime environment, the status quo has long been marked by challenges that impede efficiency and incur significant costs. Routine vessel inspections, vital for maintaining operational integrity, optimizing fuel efficiency, and ensuring safety underwater, have traditionally relied on divers or drydocking methods, both of which are inherently costly and time-consuming.</p><p>The emergence of remotely operated vehicles (ROVs) promises a more accessible and cost-effective alternative, yet their usability has been hindered by the perennial problem of navigation beneath vessels' hulls.</p><p>This article provides a comprehensive exploration of Dead Reckoning and the seminal work undertaken by Deep Trekker in mini ROV technology, with a particular emphasis on its potential to transform routine vessel inspections. The focus is on highlighting the implications for fuel efficiency, defect detection, and the cost-effective optimization of vessel maintenance.</p><p>This innovative breakthrough was achieved by Deep Trekker’s pioneering work on Dead Reckoning technology. These latest achievements have the potential to advance underwater vessel inspections by providing a practical solution to the long-standing challenge of underwater navigation.</p><img data-fr-image-pasted="true" src="https://images.ctfassets.net/kzewhs8e6cvu/3t6Sd0J8AmQJovMiFiUn2a/a62bd6232bd4c359e78a51496aabe8c7/Group_Glamor_Shot_crop1.jpg" alt="DESCRIPTION HERE" width="800" height="356" class="fr-fic fr-dii"></section><section><h2>Applications of Dead Reckoning with Underwater Robotics</h2><p>Beyond just hull inspections, Dead Reckoning finds widespread application in the field of underwater robotics, where autonomous vehicles and ROVs navigate complex underwater environments for various tasks, including oceanographic research, underwater surveys, pipeline maintenance, and search and recovery, to name a few.</p><p>In oceanographic research, ROVs equipped with Dead Reckoning systems can gather data on ocean currents, temperature gradients, water quality, and marine life distribution. By continuously updating their positions through Dead Reckoning calculations, ROVs can execute predefined survey patterns, enabling scientists to study ocean dynamics and ecosystem health.</p><p>Similarly, in underwater inspections and maintenance operations, ROVs rely on Dead Reckoning to navigate complex underwater structures, such as offshore oil rigs and submerged pipelines. By accurately estimating their positions relative to target objects, ROVs can perform tasks such as visual inspections, structural repairs, and equipment installations with minimal human intervention.</p><p>Dead Reckoning also plays a vital role in search and recovery (SAR) missions, where time-critical decisions depend on accurate positional information. Deep Trekker ROVs equipped with Dead Reckoning systems can systematically cover large search areas, narrowing down the search radius based on calculated positions and sensor feedback.</p><p>Overall, the integration of Dead Reckoning with underwater robotics facilitates more effective navigation in challenging underwater environments, enabling a wide range of scientific, commercial, industrial, and humanitarian applications.</p></section><section><h2>The Significance of Dead Reckoning in Maritime Inspections</h2><p>Dead Reckoning is a key component in maritime operations, especially in underwater inspections, as it provides a fundamental means of tracking the position and movement of inspection equipment in underwater environments, such as ROVs. This enables inspectors to navigate, track, and collect data accurately in challenging subaquatic settings.</p><p>When combined with other navigation aids and sensors, Dead Reckoning contributes to the safety, efficiency, and effectiveness of maritime inspections, ensuring that they meet their intended objectives.</p><p>Here are some key points highlighting the significance of Dead Reckoning in maritime operations:</p><h3>Navigating Underwater Without GPS or Electronic Aids</h3><p>Dead Reckoning serves as a valuable alternative for navigation in GPS-denied environments like underwater regions where GPS signals may be obstructed or jammed. In underwater inspection scenarios, GPS signals are unavailable or unreliable due to the water's attenuation of satellite signals. Dead Reckoning can provide positional data when these systems are unavailable, allowing for underwater navigation without the assistance of GPS or optics in underwater environments.</p><p>By harnessing a combination of inertial sensors, gyroscopes, accelerometers, and sophisticated algorithms, Dead Reckoning enables ROV operators to maintain accurate spatial awareness and navigate with confidence, irrespective of GPS availability.</p><p>Operators can rely on Dead Reckoning’s positional data to guide the ROV along predetermined routes and conduct thorough inspections, all without the need for GPS or optics assistance.</p><h3>Maximizing Inspection Efficiency with Position Tracking</h3><p>Dead Reckoning enables inspectors to continuously estimate the position of Deep Trekker ROVs as they move underwater during inspections. This information is critical for ensuring that the inspection covers the intended area. When you know where you are, you know where you have already inspected, and you know where you need to go next. Up until now, there has not been an effective method for position tracking for underwater ROVs near ships.</p><p>By integrating various sensors and algorithms, Dead Reckoning provides real-time feedback on the ROV's location, allowing inspectors to maintain control. By employing Dead Reckoning technology, inspectors can monitor the ROV's position relative to predefined waypoints or planned trajectories, ensuring that the inspection remains on course and covers all targeted areas effectively.</p><img data-fr-image-pasted="true" src="https://images.ctfassets.net/kzewhs8e6cvu/76y0rV73H4Knpiq1h0jdGP/654a1b0426b093d3ada261e9c8bb45d7/gif-__ROV_MOVING_ALONG_HULL_OF_SHIP_WITH_TRACK_LINE_FOLLOWING.gif" alt="DESCRIPTION HERE" width="800" height="356" class="fr-fic fr-dii"></section><section><blockquote><p><em>"Real-time position tracking enables inspectors to adapt to changing underwater conditions or unexpected obstacles, allowing for dynamic adjustments to the inspection strategy as needed."</em></p></blockquote><p>By maintaining accurate spatial awareness throughout the inspection process, inspectors can assess underwater assets, identify potential issues, and make informed decisions to optimize maintenance and repair activities.</p><h3>Enhancing Underwater Safety</h3><p>When working underwater, safety is a primary concern, both for the ROV operators and any accompanying divers - and knowing the location of the ROV and divers is essential for safety.</p><p>Dead Reckoning helps inspectors ensure that ROVs or divers do not stray into hazardous areas, such as underwater structures, shipwrecks, or areas with strong currents. By utilizing Dead Reckoning for tracking the precise location of ROVs relative to underwater structures and currents, potential risks can be identified and avoided, minimizing the likelihood of accidents or damage to equipment.</p><h3>Optimizing Maintenance Strategies through Data Driven Insights</h3><p>Positional data obtained through Dead Reckoning improves the quality of inspection data, enabling inspectors to navigate ROVs to specific areas of interest. This targeted approach ensures that inspections focus on the most important areas, reducing the chance of missing essential details and improving data accuracy.</p><img data-fr-image-pasted="true" src="https://images.ctfassets.net/kzewhs8e6cvu/5sM6RDNMt3mhw0FFcZ4pfK/55f0e7b543ed7c1e8d6b733f221c3aa0/gif-__LOOKING_UP_CLOSE_AT_SHIP_WITH_DEAD_RECKONING_TRACK_LINE_ON_SCREEN.gif" alt="DESCRIPTION HERE" width="800" height="356" class="fr-fic fr-dii"><p>This includes data such as the location of underwater structures, defects, or anomalies, which must be precisely recorded for effective analysis. Higher quality data can lead to more informed decision-making, potentially reducing the need for follow-up inspections that consume additional fuel and resources.</p><p>The data collected by ROVs utilizing Dead Reckoning technology provides valuable insights that can optimize vessel maintenance strategies. By accurately documenting hull conditions and identifying areas requiring attention, ROVs allow maintenance teams to prioritize repairs, schedule cleaning operations, and implement proactive maintenance measures.</p><p>This data driven approach minimizes downtime, reduces operational costs, and extends the lifespan of vessels, ultimately raising the bar for operational efficiency and profitability.</p></section><section><h3>Fuel Efficiency and Resource Management</h3><p>Dead Reckoning assists in efficient resource management by helping inspectors monitor the progress of inspections. It helps ROVs identify the optimal times to clean the ship, to ensure that the hull remains clear of biofouling. Fuel efficiency in maritime operations can be dramatically improved by regular inspections and keeping the hull clear of marine growth - which can potentially reduce fuel efficiency by up to 40% by creating drag from the rough surface.</p><p>Minimizing fuel consumption not only saves money but also reduces the environmental impact of maritime operations. Dead Reckoning, by ensuring efficient maintenance schedules, contributes to sustainability efforts by reducing emissions associated with fuel burning.</p><p><img data-fr-image-pasted="true" src="https://images.ctfassets.net/kzewhs8e6cvu/5wlYcwl6ZPnGvJmvXR1PbL/23d532b66f95008b4391b9f560b8b9d5/Wed-Aug-7-12-56-13-2019-hi-res-date-removed.jpg" alt="Hull inspection biofouling" class="fr-fic fr-dii"></p></section><section><h2>Integration of Dead Reckoning with Advanced Sensor Technologies</h2><p>Dead Reckoning technology is often integrated with advanced sensor technologies to further enhance the capabilities of ROVs during vessel inspections. Deep Trekker’s innovative Sensor Fusion algorithms is a great example of this.</p><p>Sensors such as acoustic positioning systems, imaging sonars, and 3D mapping cameras complement Dead Reckoning by providing additional spatial awareness and environmental data.</p><p>This integration enables ROVs to navigate complex underwater environments more effectively and capture comprehensive inspection data for thorough analysis and decision-making.</p></section><section><h2>Future Prospects and Innovations in ROV-based Vessel Inspections</h2><p>Dead Reckoning is a fundamental navigation technique that ROVs and underwater vehicles use to estimate their position and navigate in GPS-denied or challenging environments. While it provides continuous position estimates, it's important to combine with other sensor data and correction methods to maintain accuracy, especially in dynamic underwater conditions.</p><p>In the maritime industry where efficiency, accuracy, and cost-effectiveness are critical to operations, Deep Trekker's Dead Reckoning technology stands as an example of this innovation's potential to reshape long standing industry practices and overcome the historical challenges of underwater navigation.</p><blockquote><p><em>"The ongoing advancements in ROV technology, coupled with the continued refinement of Dead Reckoning algorithms, point to an exciting future for vessel inspections."</em></p></blockquote><p>Innovations such as autonomous navigation, machine learning algorithms, and advanced sensor fusion techniques promise to further enhance the capabilities of ROVs for conducting comprehensive and efficient inspections.</p><p>As these technologies continue to evolve, ROVs equipped with Dead Reckoning will play an increasingly prominent role in maintaining vessel integrity and ensuring maritime safety in the years to come.</p></section><section><h2>The Deep Trekker Advantage</h2><p>Deep Trekker ROVs, engineered with rugged industrial-grade materials, are designed for versatility and durability. They offer immediate deployment and a comprehensive variety of advanced features. These ROVs are highly portable and quick to set up, featuring powerful LED lighting, a live 4K video feed, and up to 360-degree field of view, imaging sonar, and flexible sampling tools.</p><p>Our experienced team is at your service to offer expert guidance for a wide spectrum of applications, ranging from inspecting hull vessels to water tanks to conducting underwater assessments across various industries. We ensure tailor-made solutions that precisely match your specific requirements. When you're prepared to acquire your Deep Trekker ROV, don't hesitate to <a href="https://www.deeptrekker.com/contact-us" target="_blank">get in touch</a> with us for a <a href="https://www.deeptrekker.com/request-quote" target="_blank">personalized quote.</a></p></section>

Operator piloting ROV with Dead Reckoning tracking

Discover how Deep Trekker's ROV technology transforms underwater navigation, overcoming traditional challenges in underwater positioning. 

Modernizing Vessel Inspections: Dead Reckoning for Mini ROVs

<section id="isPasted"><h2>Understanding Underwater Navigation</h2><p>In the navigation of underwater environments, knowing your position is critical, yet traditional Global Positioning System (GPS) solutions are rendered ineffective due to the limitations of underwater signal propagation.</p><p>In such challenging conditions, Deep Trekker’s Remotely Operated Vehicles (ROVs), equipped with a suite of advanced sensors and navigation methods, offer a sophisticated alternative.</p><p>Underwater navigation presents unique challenges owing to the attenuation and distortion of signals underwater, necessitating the development of specialized techniques. Deep Trekker ROVs leverage a diverse &amp; robust sensor suite as well as sensor fusion algorithms to navigate in these complex environments. This article examines the complexities of underwater navigation, demonstrating the role of Inertial Measurement Units (IMU), Ultra-Short Baseline (USBL), Doppler Velocity Log (DVL), Dead Reckoning, and other cutting-edge technologies employed by Deep Trekker ROVs.</p></section><section><h2>Key Underwater Navigation Sensors</h2><p>ROVs integrate a comprehensive suite of advanced sensors and methodologies, each playing a crucial role in ensuring reliable underwater navigation. Below is an overview of key sensors</p><p><strong>Camera:</strong> Serving as the primary source of situational awareness, high-definition cameras provide operators with real-time video feeds. They facilitate easy maneuverability during inspections of underwater assets and structures, offering vital visual cues essential for navigation.<img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1721226099378-1721226099378.png" alt="DESCRIPTION HERE" width="800" height="356" class="fr-fic fr-dii"><strong>Inertial Measurement Unit (IMU):</strong> Incorporating a compass, gyroscope, and accelerometer, the IMU tracks the ROV's orientation and motion in three-dimensional space. This data is necessary for stabilizing the vehicle and executing careful maneuvers.</p><p><strong>Pressure Sensor:</strong> Accurate depth measurement capabilities enable ROVs to maintain consistent altitude above the seabed, ensuring safe navigation and inspection operations. The depth / pressure is used to maintain a precise depth below the surface of the water column. The DVL also measures the altitude (vertical distance from the seabed).</p><p><strong>Doppler Velocity Log (DVL):</strong> By measuring changes in sound wave frequencies, DVL systems determine the ROV's speed, direction, and altitude relative to the seabed. This information is vital for maintaining course accuracy and executing dynamic maneuvers.<img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1721226094348-1721226094348.png" alt="DESCRIPTION HERE" width="800" height="356" class="fr-fic fr-dii"></p><p><strong>Multibeam Imaging Sonar:</strong> Utilizing sound waves for real-time imaging, multibeam sonars offer detailed underwater visibility even in low or zero-visibility environments. They play a crucial role in navigation, object detection, and seabed mapping with exceptional resolution, serving as the primary visual aid when water clarity is compromised.</p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1721226097757-1721226097757.png" alt="DESCRIPTION HERE" width="800" height="356" class="fr-fic fr-dii"><p><strong>Ultra-Short Baseline (USBL):</strong> Integration with USBL enhances navigation accuracy and enables autonomous navigation and position holding in challenging underwater conditions.</p><p><strong>Dead Reckoning:</strong> Dead Reckoning is a fundamental navigation method to estimate position based on previously known position, velocity, and heading information. By continuously integrating sensor data and accounting for external factors such as current drift, Dead Reckoning algorithms enable ROVs to maintain correct position estimates over extended mission durations.</p><h2>USBL Integration: Achieving Underwater Navigation Precision</h2><p>The integration of USBL systems transforms underwater navigation, offering exceptional accuracy and reliability. By triangulating the ROV's position relative to surface transducers, USBL technology enables real-time mapping and localization underwater.</p><p>The seamless integration of USBL positioning enhances the capabilities of underwater ROVs, providing users with comprehensive navigation and mapping solutions tailored to diverse underwater applications.</p></section><section><p>USBL triangulation quality is not as accurate compared to GPS triangulation quality; however, the overall quality of USBL is improved through sensor fusion.</p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1721226101337-1721226101337.png" alt="DESCRIPTION HERE" width="800" height="356" class="fr-fic fr-dii"><h2>Exploring IMU Technology</h2><p>IMUs are integral components of underwater navigation systems, providing crucial data on an ROV's orientation and motion.</p><p>Let’s take a look at both FOG and MEMS based IMU systems.</p><h3>MEMS vs. FOG IMU: Choosing the Right Technology for Underwater Navigation</h3><p>In the world of underwater navigation, the selection of the appropriate IMU technology plays a crucial role in ensuring accurate positioning and stable control of ROVs. Two prevalent IMU technologies, Microelectromechanical Systems (MEMS) and Fiber Optic Gyroscope (FOG), offer distinct advantages and trade-offs, each suited to specific applications and operational requirements.</p><h3>MEMS IMU: Miniaturization and Cost-Efficiency</h3><p>MEMS IMUs are characterized by their compact size, low power consumption, and cost-effectiveness.</p><p>Leveraging microfabrication techniques, MEMS IMUs integrate miniature sensors, including accelerometers and gyroscopes, onto a single silicon chip. This miniaturization enables MEMS IMUs to be seamlessly integrated into compact ROV designs, offering enhanced maneuverability and operational flexibility.</p><p><a href="https://www.deeptrekker.com/shop/products/sensor-pod" target="_blank"><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1721226108646-1721226108646.png" alt="DESCRIPTION HERE" width="800" height="356" class="fr-fic fr-dii"></a></p><p>Furthermore, MEMS IMUs boast relatively lower production costs compared to their FOG counterparts, making them an attractive choice for budget-conscious projects and applications requiring mass deployment of underwater vehicles.</p><p>Despite their compact size and cost-effectiveness, MEMS IMUs deliver respectable performance in terms of accuracy and reliability, meeting the demands of many underwater navigation tasks.</p><p>One of the main drawbacks of MEMS is that they are less stable compared to FOG systems. MEMS systems usually rely on a compass to ensure heading stability. This fixes the heading stability issue while maintaining cost-effectiveness, however, this also means that MEMS systems tend to be susceptible to local magnetic distortions.</p><h3>FOG IMU: Precision and Stability at a Higher Cost</h3><p>In contrast, FOG IMUs offer exceptional precision and stability, making them well-suited for demanding underwater navigation applications that require more finite accuracy and long-term reliability. FOG IMUs utilize the principles of interferometry, where light waves traveling through a coiled fiber optic loop experience changes in phase due to rotation, allowing for accurate measurement of angular velocity.</p><p>The inherent stability and accuracy of FOG IMUs make them ideal for tasks such as underwater mapping, seabed surveying, and pipeline inspection, where positioning and motion tracking are critical. However, FOG IMUs typically command higher production costs and exhibit larger physical footprints compared to MEMS counterparts.</p><p>In addition to their cost, it’s important to note that FOG IMUs also require a significant amount of time to boot up and calibrate (approximately 15 minutes). During this time, the vehicle must be completely flat and stationary on solid ground, which makes deployment off of a boat problematic.</p><h3>Choosing the Right IMU for Your Application</h3><p>When selecting between MEMS and FOG IMUs for underwater navigation, it is necessary to consider the specific requirements of the intended application, including accuracy, cost constraints, operational conditions, and deployment scale. For projects prioritizing compactness, cost-efficiency, and versatility, MEMS IMUs offer an attractive solution, providing great performance for a wide range of underwater tasks.</p><p>On the other hand, applications demanding uncompromising precision and long-term stability may favor the superior performance offered by FOG IMUs, despite their higher cost and larger form factor.</p><p>By carefully evaluating the trade-offs between performance, cost, and operational requirements, teams can make informed decisions when selecting the most suitable IMU technology for their underwater navigation needs.</p><p>While MEMS IMUs excel in compactness and cost-efficiency, FOG IMUs offer unmatched precision and stability, catering to the diverse needs of underwater inspections, research, and industrial applications.</p><p>By understanding the strengths and limitations of each IMU technology, stakeholders can make informed decisions to optimize the performance and efficiency of their underwater navigation solutions.</p></section><section><h2>Dead Reckoning Techniques</h2><p>Dead Reckoning serves as a complementary method for underwater navigation, particularly in scenarios where external positioning systems may be unavailable or unreliable.</p><p>By continuously integrating IMU data with velocity and heading information, dead reckoning algorithms estimate the ROV's position based on its previous known location. Deep Trekker ROVs utilize Dead Reckoning techniques to maintain navigation accuracy in sub-sea GPS-denied environments.</p></section><section><h2>ROV Navigation With Sonar</h2><p>With the unique profile of acoustic interpretation, sonar systems can be very valuable when mounted with an ROV. Without sonar, the pilot of the ROV will have to rely on the visual relay of the objects and features through a camera. In low visibility environments, it might be hard to see with the range often being under a meter.</p><p>Sonar systems will drastically increase this range, allowing the pilot to detect objects from much further away. Instead of going over the seabed to find objects, the ROV can remain stationary and scan the entire environment. The pilot can then get an understanding of the area with the man-made objects, natural surfaces, and areas to ignore.</p></section><section><h2>Sensor Fusion: Enhancing Navigation Precision</h2><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1721226111942-1721226111942.png" alt="DESCRIPTION HERE" width="800" height="356" class="fr-fic fr-dii">The synergy of IMU, DVL, and other sensors through sensor fusion techniques enhances the accuracy and reliability of underwater navigation. By intelligently integrating data streams and compensating for sensor inaccuracies, ROVs achieve navigational precision and stability.<p>Sensor fusion algorithms optimize control responses, mitigate environmental disturbances, and enable autonomous operation, thereby streamlining underwater operations and inspection tasks.</p><p>Through continuous refinement and calibration, sensor fusion elevates the capabilities of Deep Trekker ROVs, ensuring seamless navigation even in dynamic underwater environments.</p></section><section><h2>Advanced Underwater Positioning Systems: A Comparative Analysis</h2><p>The classifications of positioning systems can be divided into three overarching tiers, each catering to specific requirements and budgets.</p><p>High-End Military Grade Solutions: "The high-end, military-grade solutions are typically FOG IMU-based, without the need for DVL integration, employing accelerometers and gyroscopes, albeit at a prohibitive cost," explains Nemanja Kliska, Deep Trekker Team Lead and Autonomy Systems Engineer.</p><p>These top-tier systems, typically priced between half a million to several million dollars, prioritize uncompromising accuracy and reliability. Utilizing FOG IMU-based technology, these systems, commonly found on military vessels and submarines, employ gyroscopes and accelerometers to achieve precise navigation without reliance on external sensors like DVL.</p><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1721226111248-1721226111248.png" alt="DESCRIPTION HERE" width="800" height="356" class="fr-fic fr-dii"></p><p>AC Spark Plug Titan Inertial Measurement Unit</p><p><br></p><p><strong>High-End Civilian Systems:</strong> Positioned below military-grade solutions, high-end civilian systems offer advanced navigation capabilities at a relatively lower cost. Incorporating IMU or AHRS technology - comprising accelerometers, gyroscopes, and magnetometers - these systems ensure robust performance in various underwater environments. Moreover, some variants employ FOG systems to mitigate heading drift, enhancing positional accuracy.</p><p><strong>MEMS-based Systems:</strong> Representing the next tier, MEMS-based systems provide a cost-effective alternative with acceptable performance metrics. Integrating MEMS gyroscopes and accelerometers, these systems offer satisfactory accuracy under optimal conditions. However, they rely heavily on compass or magnetometer data and require continuous calibration to mitigate errors and environmental interference, and require the incorporation of DVL systems.</p></section><section><h2>Advancing Underwater Navigation with Deep Trekker ROVs</h2><p>In conclusion, the utilization of advanced sensors and positioning methods transforms underwater navigation with Deep Trekker ROVs. Through the integration of IMU, DVL, USBL, and other cutting-edge technologies such as Dead Reckoning, Deep Trekker ROVs offer groundbreaking precision and reliability in navigating challenging underwater environments.</p><p>With our commitment to advancing underwater technology, Deep Trekker remains at the forefront, providing innovative solutions for underwater inspections and research, continuing to redefine the possibilities of underwater navigation, and paving the way for future discoveries and advancements in marine industries.</p><p>Our experienced team is at your service to offer expert guidance for a wide spectrum of applications, ranging from inspecting hull vessels to water tanks to conducting underwater assessments across various industries. We ensure tailor-made solutions that precisely match your specific requirements. When you're prepared to acquire your Deep Trekker ROV, don't hesitate to <a href="https://www.deeptrekker.com/contact-us" target="_blank">get in touch</a> with us for a <a href="https://www.deeptrekker.com/request-quote" target="_blank">personalized quote.</a></p></section>

Explore advanced underwater navigation tech with Deep Trekker ROVs. Learn about MEMS and FOG IMU, Dead Reckoning, and USBL integration for precise positioning.

MEMS vs FOG IMUs: Exploring Underwater Navigation Technology

<p id="isPasted"><a href="https://tecnicosolarboat.tecnico.ulisboa.pt/" rel="noopener" target="_blank"><strong>Técnico</strong></a><a href="https://tecnicosolarboat.tecnico.ulisboa.pt/" rel="noopener" target="_blank"><strong>&nbsp;Solar Boat</strong></a> is a university project consisting of cross-degree engineering students from <a href="https://tecnico.ulisboa.pt/pt/" rel="noopener" target="_blank"><strong>Instituto Superior Técnico</strong></a>, the major engineering university in Portugal, that work together on the development of a solar-powered boat. Their primary purpose is to participate in worldwide competitions. In 2019, Técnico Solar Boat participated in the Monaco Solar &amp; Energy Boat Challenge and finished in 2<em><sup>nd</sup></em> place.</p><p><span class="fr-img-caption fr-fic fr-dib" style="width: 766px;"><span class="fr-img-wrap"><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjI3NjMzMjQ2NTg0LUVxdWlwYSAoTGFyZ2UpLkpQRyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 1000px;" class="fr-fic fr-dib"><span class="fr-inner" spellcheck="false"><span contenteditable="true" id="isPasted"><em>&nbsp;Técnico Solar Boat Team</em></span></span></span></span></p><p>This year there were no competitions due to COVID-19, so they decided to do their own event and challenge&nbsp;themselves with a tour of Portugal, Odisseia 2020.&nbsp;Odisseia 2020 consisted of 4 journeys: one in Douro river, one in Tagus river, one along the natural park of Arr´abida, and a final one along the southern coast of Algarve.</p><p>The goal of this event was to show the vessel to the public and also put all our work to test. They had a lot of improvements done during the 2019/2020 season, and one of them was thanks to the <a href="https://www.xsens.com/mti-g-710" rel="noopener noreferrer" target="_blank"><strong>Xsens MTi-G-710</strong></a>: the electronically controlled hydrofoils.</p><p>Hydrofoils allow a boat to get elevated over the waterline in such a way that the hull doesn’t touch the&nbsp;water. This is one way of reducing the drag forces exerted on the boat, thus allowing it to consume less energy for the same speed. Técnico&nbsp;Solar Boat team have been working on the implementation of hydrofoils for a few years and now they finally made it happen.</p><p><strong>How did Xsens MTi-G-710 sensor help?</strong><br>To maintain a stable and level flight, the hydrofoils’ angle of attack must be adjusted in real-time. These adjustments have to be precisely calculated, and for that a controller has to be designed. This controller then uses data from <a href="https://www.xsens.com/inertial-sensor-modules" rel="noopener" target="_blank"><strong>inertial sensors</strong></a> strategically positioned on the vessel.</p><p><span class="fr-img-caption fr-fic fr-dib" style="width: 766px;"><span class="fr-img-wrap"><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjI3NjM0ODYwNTE0LVNlbnNvcnMgcG9zaXRpb25pbmcgaW4gdGhlIHNvbGFyIHZlc3NlbC5qcGciLCJlZGl0cyI6eyJyZXNpemUiOnsid2lkdGgiOjk1MCwiZml0IjoiY292ZXIifX19" style="width: 1000px;" class="fr-fic fr-dib"><span class="fr-inner" spellcheck="false"><em id="isPasted">Sensors’ positioning in the solar vessel</em></span></span></span></p><p>To calculate the adjustments, the controller uses different state variables, and each one of these variables has to be estimated in the most precise way possible. In this case, thanks to Xsens' <a href="https://www.xsens.com/gnss-ins" rel="noopener noreferrer" target="_blank"><strong>GNSS/INS</strong></a> accuracy of measurements, Técnico Solar Boat could use the sensor’s data directly for 6 out of the 7 state variables. These state variables are:</p><ul><li>pitch <em>θ</em>,</li><li>pitch’s rate of change <em>θ</em>˙,</li><li>roll <em>φ</em>,</li><li>roll’s rate of change <em>φ</em>˙,</li><li>vertical speed <em>w</em>,</li><li>horizontal speed <em>u</em></li></ul><p>The 7<em><sup>th</sup></em> state variable comes from an ultrasonic sensor which measures the bow’s distance to the waterline. The controller applies its optimal state feedback gains to the state vector to find the right angle of attack of the hydrofoils.</p><p>The system has a main microcontroller, which communicates with all the sensors and has the foil’s controller coded into it. Every 50 ms the microcontroller updates its calculations of the angle of attack of the hydrofoils and sends this to the stepper’s motor controllers that directly move the hydrofoils.&nbsp;</p><div class="fr-img-space-wrap"><div class="fr-img-space-wrap"><span class="fr-img-caption fr-fic fr-dib" style="width: 766px;"><span class="fr-img-wrap"><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjI3NjM0OTIwNjYwLVNjcmVlbnNob3QgMjAyMS0wNy0zMCAxMDQ0MTMucG5nIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" style="width: 766px;" class="fr-fic fr-dib"><span class="fr-inner" spellcheck="false"><em id="isPasted">The control system’s hardware configuration</em>&nbsp;</span></span></span></div></div><p><strong>Data acquired during one of the journeys of Odisseia 2020</strong><br>The data shows the vessel flying at cruise speed, 7 <em>m/s</em>, at a reference height of 50 <em>cm</em>, with a pitch always close to zero and small oscillations in roll, this is maintained for 300 seconds, so 5 minutes. The deflections of the left and right foils can also be seen.</p><div class="fr-img-space-wrap"><div class="fr-img-space-wrap"><span class="fr-img-caption fr-fic fr-dib" style="width: 766px;"><span class="fr-img-wrap"><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjI3NjM0OTgzNjE3LVNjcmVlbnNob3QgMjAyMS0wNy0zMCAxMDQ0NDAucG5nIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" style="width: 766px;" class="fr-fic fr-dib"><span class="fr-inner" spellcheck="false"><em id="isPasted">Flight data saved during an Odisseia 2020 journey</em>&nbsp;</span></span></span></div></div><p>This was a great challenge and the results were very successful, the team managed to make the vessel fly in different kinds of conditions: with ocean waves, river currents, windy conditions, etc. In all these conditions the controller proved to be very robust, and it couldn’t be possible without Xsens' <a href="https://www.xsens.com/imu" rel="noopener noreferrer" target="_blank"><strong>inertial measurement unit</strong></a>.</p><div class="fr-img-space-wrap"><div class="fr-img-space-wrap"><span class="fr-img-caption fr-fic fr-dib" style="width: 766px;"><span class="fr-img-wrap"><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1627636802351-IMG_6715+%28Large%29.JPG" style="width: 1000px;" class="fr-fic fr-dib"><span class="fr-inner" spellcheck="false"><em id="isPasted">Images of the boat during the Odisseia 2020 tour</em><br></span></span></span></div><p><strong>About Xsens Motion Tracking Technology</strong><br>Want to learn more about our Motion Tracking products and how they can be a good fit for your application? Check out our <a href="https://mtidocs.xsens.com/mti-documentation-overview" rel="noopener noreferrer" target="_blank"><strong>product documentation</strong></a>.</p></div>

using Xsens Inertial Motion Tracking technology

Tecnico Solar Boat with Hydrofoil control

<p>The deployment of divers to make underwater video recordings is difficult and expensive. It calls for professionals who are trained in two disciplines: diving and video camera operation. There are even some video inspection tasks – such as recording pictures of the inside of an undersea pipe – which are impossible for divers because the location is inaccessible to a person, or too dangerous.</p><p>Now a Russian manufacturer, <a href="https://gnomrov.com/" rel="noopener" target="_blank">Underwater Robotics</a>, has developed a Remotely Operated underwater Vehicle (ROV) which can carry out video photography missions under the control of an operator who remains safe and dry on the surface of the water. Underwater Robotics’ GNOM-PRO, the world’s smallest and lightest ROV designed for video recording missions, enables users to perform underwater visual inspections without the need for a diver. It also provides a safe way to view small or hazardous locations underwater.</p><p>Offering outstanding underwater dynamic characteristics, its motion is controlled simply with a joystick. And the key to its stability and ease of use is a <a href="https://www.xsens.com/inertial-sensor-modules" rel="noopener" target="_blank">3D motion sensor</a> from Xsens.</p><p><strong>Complete motion-tracking module speeds development of ROV</strong></p><p>Xsens’ MTi-3 is a complete AHRS (Attitude and Heading Reference System) including gyroscopes, accelerometers and magnetometer in a 12.1 x 12.1 mm module. It includes Xsens’ industry-leading sensor fusion algorithm, which maintains high accuracy over the sensor’s lifetime, and performs sensor auto-calibration. The use of an integrated Xsens module enabled Underwater Robotics to develop the motion control system in the GNOM-PRO quickly. The module’s calculated measurements of roll, pitch and heading are also easy to integrate into the GNOM-PRO’s control software.</p><p>When choosing the motion sensor for the GNOM-PRO, Underwater Robotics also carefully considered its size and weight. An important feature of the ROV is that it can be carried by hand: the complete system including the ROV and its maximum 400m-long tether fits in two portable cases. The ROV itself measures 520 x 440 m x 347 mm and weighs 25 kg: this means that it can easily be transported to the site of a mission, and launched and operated from almost any type of boat. Its compact size also means that it can be used in constricted spaces such as pipelines in which a conventional ROV will not fit.</p><p>The MTi-3 sensor’s small size and its light weight, less than 1g, were therefore highly attractive. But Underwater Robotics’ choice of the MTi-3 was as much about the sensor’s dynamic characteristics. The GNOM-PRO is intended for use in monitoring and maintenance of marine and underwater installations such as oil production platforms and hydroelectric generation plants, for the inspection of ships’ hulls, and for monitoring functions in hazardous locations such as nuclear power plants. Its use as a video camera platform calls for high dynamic stability to ensure that video images are not impaired by blur, shake or other image artefacts.</p><p><strong>Maintaining stability in water</strong></p><p>The GNOM-PRO’s small size and light weight, however, mean that it is more strongly affected by the motion of waves and currents than a larger vehicle is. The MTi-3’s high performance, including roll and pitch accuracy of ±0.5° under static conditions (±0.8° under dynamic conditions), enables the operator to maintain stable orientation. The GNOM-PRO also has an Auto-Heading Mode to enable the operator to set its direction of travel via an automatic setting controlled by the heading output from the MTi-3. In addition, the MTi-3 sensor’s measurements of velocity, roll, pitch and yaw enable accurate dead reckoning from a known starting position, to establish the geolocation of the ROV.</p><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1618320084977-1618320084977.png" alt="352" width="814" srcset="https://www.xsens.com/hs-fs/hubfs/352.jpg?width=407&amp;name=352.jpg 407w, https://www.xsens.com/hs-fs/hubfs/352.jpg?width=814&amp;name=352.jpg 814w, https://www.xsens.com/hs-fs/hubfs/352.jpg?width=1221&amp;name=352.jpg 1221w, https://www.xsens.com/hs-fs/hubfs/352.jpg?width=1628&amp;name=352.jpg 1628w, https://www.xsens.com/hs-fs/hubfs/352.jpg?width=2035&amp;name=352.jpg 2035w, https://www.xsens.com/hs-fs/hubfs/352.jpg?width=2442&amp;name=352.jpg 2442w" sizes="(max-width: 814px) 100vw, 814px" class="fr-fic fr-dii"></p><p>Underwater Robotics decided to embed the MTi-3 in the GNOM-PRO ROV after exhaustive evaluation of the motion sensor market.&nbsp;</p><p>‘On every parameter which we considered important, our evaluation pointed us towards the MTi motion tracker. It is a full-function motion tracker including sensor fusion software, but Xsens fits all the functionality into a small and light package, which is very important for a portable product such as the GNOM-PRO. But the small size does not compromise performance – the accuracy of the MTi-3’s measurements are very good, and in conjunction with the depth measurements provided by a separate pressure sensor, allows the user to tag each frame of video with an exact geolocation.</p><p>The performance of the GNOM-PRO ROV with the MTi-3 sensor has brought us great success – the product is now in use around the world in countries including France, Italy, Germany, Spain, the US and India as well as Russia. That is why I am sure that we made the right decision to use the MTi-3.’</p><p>Boris Rozman, CEO of Underwater Robotics</p><p><strong>Learn more about the Xsens MTi-3 AHRS<em>&nbsp;</em></strong></p><p>The MTi-3 stands out for its small form factor (12.1mm x 12.1mm), easy integration, low cost and robustness – as well as its strapdown integration algorithm.</p><p>Want to know more? Go to the <a href="https://www.xsens.com/mti-3" rel="noopener noreferrer" target="_blank">MTi-3 page</a>.</p>

with Xsens MTi

ROV With Xsens MTi-3 Sensor Inside Performs Geotagged Visual Inspections Underwater

<p>Some tens of millions of passenger journeys take place on Europe’s railways every day. Nearly all of these journeys pass off with no incident. For most people, most of the time, rail travel is and feels safe.</p><p>Yet it is not perfectly safe: according to an official study, the European Union Railway Safety Report, between 300 and 700 rail accidents occur in Europe every year - a statistic which has held true for many years, despite the strict safety regulations applied to passenger transport in the EU.</p><p>Shocked by the regular frequency of rail accidents, in 2005 engineer Thomas Strang decided to dedicate his professional life to the development of technology which could dramatically reduce the number of accidents.</p><p>The company which he leads, <a href="https://www.intelligence-on-wheels.de/" rel="noopener" target="_blank">Intelligence on Wheels</a>, is the result of his commitment to rail safety. Its technology, the world’s first autonomous, train-based safety monitoring and warning system, depends on a geolocation system based on an Xsens <a href="https://www.xsens.com/inertial-sensor-modules" rel="noopener" target="_blank">inertial sensor module</a>.</p><p><span class="fr-video fr-deletable fr-fvc fr-dvb fr-draggable" contenteditable="false" draggable="true"><iframe class="fr-draggable" src="https://www.youtube.com/embed/rPRqhJpBJIY?&amp;feature=emb_logo&amp;wmode=opaque" frameborder="0" allowfullscreen="" style="width: 790px; height: 402px;"></iframe></span><br></p><p><strong>If planes do not collide, why should trains?</strong></p><p>Today train routing is performed by a control center via the system of tracks and switches. The interlocking system of points is intended to be inherently safe, isolating a train on one section of track from trains on neighboring sections.</p><p>So from the control center’s point of view, safety is maintained by controlling sections of track, not by controlling individual trains. In fact, a railway control center does not continuously monitor the exact location or speed of travel of the trains it controls: rather, it knows whether a section of track is occupied or not.</p><p><img width="1200" class="fr-fic fr-dii" alt="Three Bridges ROC" sizes="(max-width: 1200px) 100vw, 1200px" src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjEwNzE3NTA4MjE4LTE2MTA3MTc1MDgyMTcucG5nIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ=="></p><p><em><strong>The Three Bridges rail operating center, which controls commuter trains into London. (Image credit: Network Rail)</strong><br><br></em></p><p>Thomas Strang, who holds a private pilot’s license and works as a senior engineer in Germany’s aerospace research agency, realized that it was possible to apply to trains the safety principle already adopted by the airline industry. An aircraft includes on-board systems which scan the air for other craft nearby, and which alert the pilot when a plane is on course to hit or to fly too close to any other.</p><p>Likewise, if drivers could know when their train is at risk of colliding with another, they could slow and stop it, completely independently of the control center. Such a system would bypass the features of the current system which allow as many as 700 rolling stock collisions to occur annually in Europe.</p><p>&nbsp;<strong>How to precisely geolocate a train</strong></p><p>Intelligence on Wheels’ on-board system operates by tracking continuously the exact position, speed of travel and direction of travel of the train. To be protected by the new system, every train sharing a track on the network has to be equipped with the same system. Trains are connected via a direct radio link, and share in real-time their motion and position information, including the current braking distance, with every other train in the vicinity.</p><p>Each Intelligence on Wheels unit includes a computer which processes the speed and position information coming in from nearby trains and continuously calculates the risk of a collision. As soon as the risk exceeds a minimum threshold, the system displays an alert to the driver of each at-risk train, enabling them to take evasive action – normally, to immediately slow down or stop.</p><p><img width="4608" class="fr-fic fr-dii" alt="Train cab_view of track" sizes="(max-width: 4608px) 100vw, 4608px" src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjEwNzE3NTA4NDU4LTE2MTA3MTc1MDg0NTguanBlZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0="></p><h4><em>The view from the cab – drivers usually cannot see as far down the track as the braking distance when travelling at speed. (Image in the public domain)<br><br></em></h4><p>In a rail network which deploys Intelligence on Wheels’ technology, for the first time every train can pinpoint its position relative to other trains nearby – a huge breakthrough which makes the entire system’s safety controls more resilient, and which provides a safety back-up in case the primary track-based safety system fails or is inadvertently disabled.</p><p>But of course, it depends on access to continuous, real-time information about the speed and position of a train, information which the existing infrastructure does not provide or use. So Intelligence on Wheels had to develop this capability from scratch.</p><p>Its ingenious solution to the problem was mapping: before deployment in a train network, Intelligence on Wheels maps every centimeter of track, recording precisely its inclination and heading, track features such as points, and other track-related landmarks such as stations and speed limits.</p><p>The Intelligence on Wheels equipment mounted on board each train includes an <a href="https://www.xsens.com/mti-products" rel="noopener" target="_blank">Xsens inertial measurement unit (IMU)</a>, a sophisticated motion tracking module which measures 3D acceleration and 3D rate-of-turn, and provides a magnetic field vector.</p><p>By comparing the inputs from the IMU with the map, the Intelligence on Wheels unit can exactly locate the position, velocity and direction of travel of the train. This information is cross-checked against a GNSS satellite positioning signal to provide additional confidence in the geolocation information from the IMU.</p><p>Crucially, on a section with two or more tracks, the system is accurate enough to know which track the train is on, so that trains on parallel tracks can be allowed to pass normally, but trains approaching each other on the same track can be warned to stop and avoid a collision.</p><p>In building the IMU-based geolocation system, Intelligence on Wheels had to balance performance and cost. Because its system is safety-critical, it must be ultra-reliable in the demanding operating environment of the driver’s cabin. Accurate measurement of high-speed motion is also essential – for instance, the system can even derive valuable information about the train’s position from the vibrations it measures when the train is in motion. As the Intelligence on Wheels concept requires a discrete unit to be mounted in every train on the network which is to be protected by the new system, the bill-of-materials cost of the company’s equipment directly affects the train operator’s investment decision.</p><p>Thomas Strang says: ‘The accuracy and reliability of the tilt, acceleration, rate-of-turn and magnetic data from the IMU are of critical importance to us, but to gain acceptance of our system in the rail industry, we have to offer it a price point that operators will consider affordable. We are delighted with our decision to use an Xsens IMU, because it exceeds the performance specifications we set for our geolocation system, but it is a mainstream, commercial product available at an affordable price - the perfect solution for use in our novel train safety system.’</p><p>The Intelligence on Wheels safety equipment is today in use on trains operating in Germany, and is currently undergoing field trials in various railway networks elsewhere in Europe.</p><p>For more information or to contact Intelligence on Wheels, go to <a href="http://www.intelligence-on-wheels.de/" target="_blank">www.intelligence-on-wheels.de</a>.</p><p>&nbsp;</p><p><strong>Choosing your product</strong></p><p>Want to know the right inertial measurement unit for your application? Try our recommendation tool and find out what MTi you need by answering just 3 questions.</p><p><a href="https://www.xsens.com/mti-recommendation-tool" rel="noopener noreferrer" target="_blank"><strong>Try the recommendation tool here.</strong></a></p>

Intelligence On Wheels: An Innovative Concept For Train Safety

<p>Motion capture and the field of motion measurement are widely used in both sports and creative visual media. But in this recent short film, ‘<a href="https://vimeo.com/453613568" rel="noopener" target="_blank"><em>Protesys</em></a>’ by acclaimed Brazilian director, Afonso Poyart, the worlds of sport science and Hollywood collide, and <a href="https://www.xsens.com/products/mvn-animate" rel="noopener" target="_blank">Xsens MVN Animate</a> is at the center of production.&nbsp;</p><p>Afonso’s filmmaking career has earned him a highly regarded place in the global film industry, directing films such as <em>Two Rabbits&nbsp;</em>(2012), <em>Solace</em> (2015), and <em>Mais Forte que o Mundo: A História de José Aldo</em> (2016), to name a few. In Protesys, conventional wisdom surrounding sports is challenged head-on, tackling the increasing role technology plays in professional sports. In particular, the film – shot convincingly as a fictional documentary – focuses on the potential for high-powered, bionic prosthetics that take a step beyond assistance for para-athletes, elevating users to superhuman levels of performance. Afonso partnered with VFX studio, <a href="https://www.picmapost.com.br/" target="_blank">Picma Post</a>, to design the short film’s photorealistic visuals, creating a convincing and realistic technology concept, all despite being set in an entirely fictional context.&nbsp;</p><p>We spoke with Afonso Poyart and Rodrigo Elias, founding partner and production supervisor at Picma Post, about the film’s inception, production, and the studio’s future projects.&nbsp;</p><p><span class="fr-video fr-deletable fr-fvc fr-dvb fr-draggable" contenteditable="false" draggable="true"><iframe allowfullscreen="" class="fr-draggable" frameborder="0" src="https://www.youtube.com/embed/b6vjCVq4UQo?&amp;feature=emb_logo&amp;wmode=opaque" style="width: 784px; height: 503px;"></iframe></span><br></p><p><strong>Perceiving Protesys&nbsp;</strong></p><p>Afonso was inspired by the incredible feats achieved by today’s para-athletes on the world stage, taking a keen interest in the role of advancements in prosthetic limbs. As prosthetic technology continues to improve, para-athletes are beginning to edge closer to the level of able-bodied sports stars, which begs the question: could robotic technology turn the tables?&nbsp;</p><p>“We’ve started to see current-day parathletes, with the help of modern prosthetics, beginning to enter into higher and higher levels of sporting achievement, this inspired the basis of the film idea,” said Afonso.&nbsp;“What would happen if they equalled, and then bettered able-bodied athletes?” continued Afonso.&nbsp;With this concept in mind, Afonso opted to sculpt a world containing a new bionic prosthetic that while beyond today’s capabilities, feels like an entirely possible adaptation. You’d be forgiven for taking the premise of the film as fact, especially as it’s presented in a documentary form that demonstrates the technology as market-ready. It even stars an active, Brazilian para-athlete, Flavio Reitz:&nbsp;“Flavio is a real para-athlete from the Olympics – it’s like real life meets fiction. In the story, this futuristic tech company hires Flavio to test the new equipment,” explained Afonso.</p><p>The bionic technology developed by the company goes far beyond normal expectations. Rather than just replacing the limb with something inactive, the new bionic prosthetic enhances the user’s physical ability to superhuman levels and is controlled like a regular limb using a computer chip implanted in the brain. Elon Musk’s Neuralink technology played some part in the inspiration for the brain implant idea.&nbsp;“Neuralink definitely provided some inspiration for the chip that connects the motor cortex in the brain with the robotic limbs. However, I didn’t want to fool people too much or give false hope – we wanted to create something that plays with the audience but becomes clearer as the film plays out. It’s too high-tech for today,” said Afonso.&nbsp;</p><p>&nbsp;<img alt="20191020_153232-1" class="fr-fic fr-dii" sizes="(max-width: 600px) 100vw, 600px" src="https://images.wevolver.com/eyJidWNrZXQiOiAid2V2b2x2ZXItcHJvamVjdC1pbWFnZXMiLCAia2V5IjogImZyb2FsYS8xNjA0NjU5NDc5NTUwLTE2MDQ2NTk0Nzk1NTAucG5nIiwgImVkaXRzIjogeyJyZXNpemUiOiB7IndpZHRoIjogOTUwLCAiZml0IjogImNvdmVyIn19fQ==" width="600"></p><p><strong>Production Process</strong></p><p>Through its high production standard, the short film manages to blur the line between fiction and reality, particularly in the CG animated sections that show off the prosthetic technology. To achieve this, the VFX studio utilized motion capture to generate realistic movements of athletes performing a range of sports.&nbsp;“When we first started discussing the idea and concept for the short film, we realized we needed an accurate mocap suit to record athletic movements. Here in Brazil, we don’t have lots of mocap studios or specialists, but our research led us to <a href="https://www.xsens.com/" rel="noopener" target="_blank">Xsens</a> as the best solution. We talked a lot with the Xsens team when setting up to get the highest quality data,” explained Rodrigo.&nbsp;With a short time frame to learn how to use Xsens, the team found the technology’s ease-of-use and adaptability invaluable to the production process.&nbsp;</p><p>“It was a really straightforward process for us. Picma had never operated a full mocap system and it was a learning process from scratch. Despite this, we were able to pick it up quickly,” said Afonso.&nbsp;“We were able to complete a lot of mocap directly on an athletics track. Nobody has capabilities like Xsens to complete sessions such as this,” continued Afonso.&nbsp;</p><p>With the ability to record athletes live on the track, the <a href="https://www.picmapost.com.br/" rel="noopener" target="_blank">Picma Post</a> team could record the full-body motion of boxers, dancers, and high jumpers with ease, generating the realistic, CG animation seen throughout the film. Picma used several stunt doubles for Flavio's routines, harmoniously merging the shots together.&nbsp;“Flavio is unable to use a real prosthetic leg and can’t walk. So every shot where he is walking is a double. We also hired a High Jumper for some of the shots too,” said Afonso.&nbsp;“We actually had three stuntmen for Flavio, one for jumping, running, and the body! added Rodrigo. “But of course, we only recorded the initial steps of Flavio’s jump with <a href="https://www.xsens.com/" rel="noopener" target="_blank">Xsens</a>. We also had some wired cables that raised him during the recording session. As soon as he took off and went upwards, we’d cut, so the rest of the jump was all CG.”&nbsp;</p><p><img alt="IMG_0906.CR2" class="fr-fic fr-dii" sizes="(max-width: 1200px) 100vw, 1200px" src="https://images.wevolver.com/eyJidWNrZXQiOiAid2V2b2x2ZXItcHJvamVjdC1pbWFnZXMiLCAia2V5IjogImZyb2FsYS8xNjA0NjU5NDc5MTE2LTE2MDQ2NTk0NzkxMTYucG5nIiwgImVkaXRzIjogeyJyZXNpemUiOiB7IndpZHRoIjogOTUwLCAiZml0IjogImNvdmVyIn19fQ==" width="1200"></p><p>“For the CG parts, we used a combination of Maya and Arnold. And every compositing shot is completed in Nuke. For now, we’re using HumanIK inside Maya to apply the mocap data and a custom rig using HumanIK as our base for the robot. We’re looking to develop custom rigs in the future,” said Rodrigo. Even high-impact movements resulted in no loss of data for the team, with the durability of the Xsens sensors proving very reliable. “We recorded a high jumper with Xsens to jump at a lower height to acquire all of the movement data as an athlete crosses over the bar. The data came out very clean, all despite the athletes hitting the mattresses with maximum force – the sensors worked fine,” explained Afonso.</p><p><iframe allowfullscreen="" allowtransparency="true" frameborder="0" height="100%" scrolling="no" src="https://play.vidyard.com/7RvtWS9otmd6jKYHf2Gx81?disable_popouts=1&amp;type=inline&amp;hidden_controls=0&amp;muted=0&amp;loop=0&amp;autoplay=0&amp;new_player_ui=1&amp;gdpr_enabled=1&amp;play_button_color=2A2A2A&amp;playlist_color=FFFFFF&amp;color=FFFFFF&amp;hide_playlist=1&amp;embed_button=0&amp;viral_sharing=0&amp;v=4.2.23&amp;vydata%5Butk%5D=e1b95d4c524d7134054b8a9c5fc2f599&amp;vydata%5Bportal_id%5D=3446270&amp;vydata%5Bcontent_type%5D=blog-post&amp;vydata%5Bcanonical_url%5D=https%3A%2F%2Fwww.xsens.com%2Fcases%2Fdesigning-a-bionic-future-for-prosthetics-with-xsens&amp;vydata%5Bpage_id%5D=35219307837&amp;vydata%5Bcontent_page_id%5D=35219307837&amp;vydata%5Blegacy_page_id%5D=35219307837&amp;vydata%5Bcontent_folder_id%5D=null&amp;vydata%5Bcontent_group_id%5D=9880291723&amp;vydata%5Bab_test_id%5D=null&amp;vydata%5Blanguage_code%5D=null" title="Video" width="100%"></iframe></p><p><strong>Feature Film</strong></p><p>The short is a stand-alone film in its own right, but it actually exists within a much larger universe designed by Afonso to encompass a feature-length, parallel story.&nbsp;</p><p>“The short film is a case study for a feature film in production. We have a script and are just entering the production stages – the short film takes place in the same universe as the feature and acts as a precursor,” said Afonso.&nbsp;“The movie portrays a world where prosthetics are incredibly advanced. We’ve focused on different athletic sports where para-athletes use bionic limbs to become super athletes. The sporting audience and sponsors flip their interest into the bionic sports, able-bodied athletes become less significant as they’re unable to compete with para-athletes,” continued Afonso.&nbsp;“There will be two sisters, both athletes, one disabled and one able-bodied. When this technological revolution happens, the sister with the disability becomes the star, replacing the prospects of the able-bodied sister. It’s really about rivalry and what people are prepared to do to achieve success.”</p><p>The feature film will take a more conventional cinematic approach, rather than the fictional documentary style of the short. But the questions touched upon in <a href="https://vimeo.com/453613568" rel="noopener" target="_blank"><em>Protesys</em></a> will be expanded into realistic scenarios that are bound to cause contention. As Afonso states:&nbsp;“We always associate sports with physicality, but it seems to me that it’s much more about mental and emotional dexterity. If the robotics extends our physical ability to a higher level and really lowers difficulty constraints, what will differentiate the best athletes? Everyone might want a bionic limb, whether they need one or not.”<br><br></p><p>You can check out the full short film <a href="https://www.solidlimbs.com/" target="_blank">here</a>, and keep your eyes peeled for further developments of the full feature film.&nbsp;</p><p>&nbsp;</p><h3>Xsens MVN Animate</h3><p>Are you actively looking for a motion capture system? <span data-hs-drop="true">Feel free to visit our&nbsp;</span><a href="https://www.xsens.com/products/mvn-animate" rel="noopener noreferrer" target="_blank"><strong><span data-hs-drop="true">product page</span></strong></a><span data-hs-drop="true">.<a href="https://www.xsens.com/cs/c/?cta_guid=62b0c95c-a32e-49a7-b027-2d1850d6c247&amp;signature=AAH58kHW8MGtxYkdRDy65TvwW8WxSoQlgA&amp;pageId=35219307837&amp;placement_guid=4d5a34f5-b6e3-4815-bb7c-67fec396482b&amp;click=d23fe1e1-9172-412a-af80-683795572401&amp;hsutk=e1b95d4c524d7134054b8a9c5fc2f599&amp;canon=https%3A%2F%2Fwww.xsens.com%2Fcases%2Fdesigning-a-bionic-future-for-prosthetics-with-xsens&amp;utm_referrer=https%3A%2F%2Fwww.xsens.com%2Fexplore%3Ffilter%3Dcases&amp;portal_id=3446270&amp;redirect_url=APefjpGczQu9wTNyNGmpb35KO0ZULXNHCqF9PkcH0Ho_6IWdyVwW2gu7s3VrxVumJdj3ZRgAd-220-M-7t0z5K_7GUyeMXeatlgMTlmpeIGz2ZoeriA-BJaRg2VrfHuyZEc8af2uCoVe4z_uyouYcGJWjoCuaaJ09pUhGzenbaRrw0IdC_wGbSbd4yyuUJ3xAopxB3HeKGgBp1JutLsNSkMy98evDLdzARZUnyn6TyX5GjiVzaODc8xdJtRc3xVBgNdq7JJUUPhXoG5xPx_AvClAVrZAzelHPw&amp;__hstc=81749512.e1b95d4c524d7134054b8a9c5fc2f599.1598950583555.1604655289703.1604659070195.177&amp;__hssc=81749512.5.1604659070195&amp;__hsfp=141168424&amp;contentType=blog-post" target="_blank" title="Download MVN Data Files"></a></span></p>

With Xsens

Designing A Bionic Future For Prosthetics

<p>The development and validation of new road vehicles and equipment calls for the precise testing of dynamic behavior including velocity, acceleration, deceleration and attitude. Tests of the safety and performance of new models are generally carried out on dedicated outdoor test tracks. Here, parameters such as acceleration, cornering speed and braking distances can be measured accurately under varied driving conditions.</p><p>Nearly all the world’s top manufacturers of cars, and of components such as tires, include data acquisition systems supplied by UK technology pioneer <a href="http://www.racelogic.co.uk/" rel="noopener" target="_blank">Racelogic</a> in their array of vehicle testing equipment. <a href="https://www.vboxautomotive.co.uk/index.php/en/" target="_blank">Racelogic’s VBOX</a> is the automotive industry’s preferred data acquisition system for vehicle testing because of its outstanding performance: it logs at a frequency of 100 times a second the exact position of a test vehicle on the road to an accuracy of ±2cm. It achieves this remarkable accuracy by combining signals from multiple GNSS constellations, such as GPS and GLONASS, with inertial measurements and wheel speed data from the vehicle itself.</p><p>The inertial data – measurements in three dimensions of acceleration and of rate-of-turn – are obtained from the high-accuracy Xsens IMU (<a href="https://www.xsens.com/inertial-sensor-modules" rel="noopener" target="_blank">inertial measurement unit</a>). Racelogic, a long-time customer of Xsens, relies on the <a href="https://www.xsens.com/inertial-sensors" rel="noopener" target="_blank">MTi series</a> of IMUs because they offer the very high accuracy that Racelogic requires, while being small, light, and easy to integrate into the sensor/receiver unit mounted on the roof of the vehicle under test.</p><p><iframe allowfullscreen="" data-service="vimeo" height="360" src="https://player.vimeo.com/video/280552663?title=0&amp;byline=0&amp;portrait=0&amp;color=8dc7dc" width="640"></iframe></p><p>Using sophisticated algorithms developed by Racelogic, the VBOX Data Logger base unit performs post-processing on the measurements recorded during a test run. The outputs from a VBOX IMU enable the VBOX data logger to apply error correction to the raw satellite positioning signals: it is the Racelogic software backed by the MTi series IMU’s measurements which allow the system to achieve ±2cm position accuracy and help it to maintain the accuracy in GPS denied environments.</p><p>When a car manufacturer announces that a new model goes from 0mph to 60mph more quickly than its closest competitor, it relies on measurements from the VBOX to validate its claim. In the same way, when it tests the limits of a car’s high-speed cornering, and the speed at which its tires lose grip, it is the VBOX which detects the first few centimeters of deviation as the rear wheels begin to slide. This is why the VBOX system’s accuracy is so highly prized by the automotive industry.<br><br></p><p><strong>Positioning with no satellite signal</strong></p><p>The primary use case for the VBOX system is to support vehicle testing on outdoor test tracks. But some tests that car manufacturers want to perform are either difficult or impossible on an open, outdoor test track. Examples include:</p><ul><li>Testing dynamic behavior when driving through a tunnel, or in other zones which have limited reception of satellite signals, such as urban canyons and in dense forest.</li><li>Testing the operation of park assist and other driver assistance systems in a multi-story car park or indoor test chamber</li><li>Tire testing on an ice rink</li></ul><p><span class="fr-video fr-deletable fr-fvc fr-dvb fr-draggable" contenteditable="false" draggable="true"><iframe allowfullscreen="" class="fr-draggable" frameborder="0" height="360" src="https://www.youtube.com/embed/lOpXPO4qK6c?&amp;feature=emb_title&amp;wmode=opaque" width="640"></iframe></span><br>To meet this demand, Racelogic has developed a new indoor positioning system which enables the testing and validation of ADAS sensors, autonomous vehicles and vehicle dynamics indoors. Called the VBOX Indoor Positioning System (VIPS), the equipment achieves the same positional accuracy – ±2cm – as the standard VBOX system, without any satellite signal input. This accuracy is unprecedented in the high-precision world of automotive testing: even the best competing indoor positioning products on the market are only able to achieve accuracy of ±5cm.</p><p>As well as supporting any indoor test use case, the VIPS product also enables Racelogic to provide an integrated indoor/outdoor system for VBOX users. It is the world’s first indoor positioning system to provide a seamless transition between GPS-based and indoor position measurement systems with no loss of accuracy.<br><br></p><p><strong>IMU data ensure high accuracy</strong></p><p>The technology which enables Racelogic to achieve such high positional accuracy when out of range of satellite positioning signals is similar in its operation to the outdoor system. But the VIPS system relies on an array of six or more Ultra-Wideband (UWB) static radio beacons mounted at intervals of around 50m to provide the raw position information. A ‘Rover’ sensor unit mounted on the roof of the vehicle under test receives the UWB signals from multiple beacons simultaneously. The Rover unit also contains an <a href="https://www.xsens.com/products/mti-100-series" target="_blank">MTi-100 series IMU module</a> from Xsens: this provides extremely accurate, synchronized acceleration and rate-of-turn measurements at an output data rate of up to 2kHz.</p><p>And as with satellite positioning signals, the VBOX Indoor Positioning System software uses the MTi 100-series module’s acceleration and rate-of-turn data to perform error correction on the UWB signals. The combination of UWB data, IMU data and Racelogic’s unique software produces the VIPS product’s ±2cm accuracy on which automotive manufacturers rely.</p><p><img alt="VIPS-Tunnel-Graphic" class="fr-fic fr-dii" sizes="(max-width: 2048px) 100vw, 2048px" src="https://images.wevolver.com/eyJidWNrZXQiOiAid2V2b2x2ZXItcHJvamVjdC1pbWFnZXMiLCAia2V5IjogImZyb2FsYS8xNTk5MjA0ODEwMTIzLVZJUFMtVHVubmVsLUdyYXBoaWMgKHdlYikuanBnIiwgImVkaXRzIjogeyJyZXNpemUiOiB7IndpZHRoIjogOTUwLCAiZml0IjogImNvdmVyIn19fQ==" srcset="https://www.xsens.com/hs-fs/hubfs/VIPS-Tunnel-Graphic.jpg?width=1024&amp;name=VIPS-Tunnel-Graphic.jpg 1024w, https://www.xsens.com/hs-fs/hubfs/VIPS-Tunnel-Graphic.jpg?width=2048&amp;name=VIPS-Tunnel-Graphic.jpg 2048w, https://www.xsens.com/hs-fs/hubfs/VIPS-Tunnel-Graphic.jpg?width=3072&amp;name=VIPS-Tunnel-Graphic.jpg 3072w, https://www.xsens.com/hs-fs/hubfs/VIPS-Tunnel-Graphic.jpg?width=4096&amp;name=VIPS-Tunnel-Graphic.jpg 4096w, https://www.xsens.com/hs-fs/hubfs/VIPS-Tunnel-Graphic.jpg?width=5120&amp;name=VIPS-Tunnel-Graphic.jpg 5120w, https://www.xsens.com/hs-fs/hubfs/VIPS-Tunnel-Graphic.jpg?width=6144&amp;name=VIPS-Tunnel-Graphic.jpg 6144w" width="2048"></p><p><br></p><p><strong>Flexible and scalable system</strong></p><p>The UWB beacons used in the VIPS product may be battery-powered to allow for positioning on any surface. An installation can include up to 250 beacons, making the system scalable for coverage of a wide surface area. This scalability is particularly useful in applications such as underground mines or construction sites.</p><p>The VIPS equipment can measure vehicle velocity up to 270km/h. The accuracy of velocity measurements is ±0.1km/h.</p><p>Julian Thomas, Founder and Managing Director of Racelogic, said: ‘The top priority for Racelogic in developing the VIPS solution was to achieve the industry’s best guaranteed accuracy indoors, in any terrain and any driving conditions – customers have relied on Racelogic for superior accuracy ever since the launch of the VBOX data acquisition system in 2001.</p><p>‘That’s why we chose the MTi 100-series IMU from Xsens. Our evaluation showed it provided the most accurate inertial sensor data of any module in its class, enabling our VIPS solution to maintain guaranteed accuracy across the entire measured area.’</p><p><em>For more information about the Racelogic VIPS system, go to the&nbsp;</em><a href="http://www.vbox.co.uk/vips" target="_blank"><em>VBOX Indoor Positioning</em></a><em>&nbsp;website.</em></p><p><br></p><p>Find out more about <a href="https://www.xsens.com/products/mti-100-series" rel="noopener noreferrer" target="_blank">Xsens MTi 100-series here</a>.</p><p><br></p>

MTi 100-series IMU helps Racelogic tracking cars’ motion accurately with no satellite signals.

Breakthrough With New VIPS System

<p>In the late 1950s, New Zealand marine technology company <a href="https://www.hamiltonjet.com/" rel=" noopener" target="_blank">HamiltonJet</a> pioneered the application of waterjet propulsion for small and medium-sized craft. Waterjet propulsion was the ideal alternative to a conventional propeller drive for boats operating in shallow water, and quickly found favor among skippers of boats plying New Zealand's many shallow, rocky rivers.</p><p>Since then, HamiltonJet has grown to become the world's biggest supplier of waterjet propulsion and control systems, with over 40% market share worldwide – some 97% of its sales are to export markets. Its sophisticated AVX platform provides the basis for a growing range of skipper assistance and auto-pilot functions, all of which depend on accurate and robust technology for tracking a vessel's position and its movement in the water.</p><p>A crucial role in this platform is played by an MTi-2 motion tracker from <a href="https://www.xsens.com/" rel="noopener noreferrer" target="_blank">Xsens</a>, providing real-time measurements of roll and pitch to enable the HamiltonJet system to fix the position of a vessel on the water. This is the story of the HamiltonJet technology, and the MTi motion tracker's role in it.</p><p><span class="fr-video fr-deletable fr-fvc fr-dvb fr-draggable" contenteditable="false" draggable="true"><iframe src="https://www.youtube.com/embed/-LjpsVKTNrs?&amp;wmode=opaque" frameborder="0" allowfullscreen="" class="fr-draggable" style="width: 789px; height: 537px;"></iframe></span></p><p><strong>Innovative propulsion system enables accurate station keeping</strong></p><p>Today, waterjets propel a wide range of service boats which require very high maneuverability, benefit from high efficiency at high speed, or operate in shallow waters. Typical users of HamiltonJet propulsion systems include police patrol boats, service vessels supporting wind farms, rescue and fire service boats, recreational and tourist boats, and military vessels.</p><p>One of the most apparent differences between a waterjet propulsion system and propeller systems is the quick and easy control of the direction and power of the thrust. A HamiltonJet propulsion system can completely reverse the direction of thrust in less than two seconds.</p><p>This property of waterjet propulsion enabled HamiltonJet to develop a sophisticated system for automatically performing 'station keeping' – the mariner's term for staying motionless on the surface of the water while maintaining a constant heading.</p><p>Its JETanchor product for station keeping, or providing a 'virtual anchor', is an optional feature of the AVX propulsion control system. Playing a vital role in the JETanchor's position sensing system is an <a href="https://www.xsens.com/products/mti-1-series" rel=" noopener" target="_blank">MTi-2 Vertical Reference Unit (VRU)</a> from Xsens.</p><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1592382231911-Photo+1.jpg" style="width: 610px;" class="fr-fic fr-dib"></p><p><strong>Compensation for satellite positioning signal error</strong></p><p>The JETanchor product enables the skipper to hold the vessel steady at the push of a button. The system has to know the absolute position of the vessel. Of course, technology for monitoring the position of an object is readily available: Global Navigation Satellite System (GNSS) positioning signals are capable of high accuracy and precision.</p><p>The JETanchor system uses dual satellite receivers. Each is mounted on a mast to maintain a clear line of sight to the Global Positioning System (GPS) constellation. The satellite receivers provide position data accurate to a few tens of centimeters, as well as reliable measurements of heading and, when the vessel is in motion, velocity.</p><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1592382347040-Photo+2.jpg" style="width: 610px;" class="fr-fic fr-dib"></p><p>As accurate as the dual GPS signals are, however, they are not sufficient for the JETanchor system to meet the high performance standards that HamiltonJet sets for its propulsion control products, chiefly because of the nature of operation on water. At sea, boats are rocked almost constantly by the motion of the wind and waves. An unmoored boat is never completely still.</p><p>The effect of roll and pitch is amplified by the GPS receivers' mounted position high up on masts. In heavy seas, the action of roll and pitch can cause receivers mounted on tall masts to detect movement of several meters from one side of the mast's arc of motion to the other, while the dead center of the hull remains motionless.</p><p>In other words, this swinging of the mast introduces error into the GPS signal. The role of the MTi-2 VRU is to measure the hull's roll and pitch. Once the mounting positions of the GPS receivers and of the VRU are programmed into the AVX control system, sophisticated JETanchor algorithms apply calculations in real time to cancel out the error in the GPS signals induced by movement of the water, resulting in a clean position signal. This then enables the waterjet propulsion system to minutely adjust the position of the hull on the water at a rate of ten times per second.</p><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1592382411764-photo+4.jpg" style="width: 610px;" class="fr-fic fr-dib"></p><p>According to CJ Johansson, Senior Systems Engineer at HamiltonJet, a crucial feature of the Xsens VRU is its measurement stability even when subject to vibration – an ever-present phenomenon affecting the operation of motion trackers mounted on a vessel. He says, ‘Xsens implements very effective Kalman filtering technology in its sensor modules which automatically cancels out the effect of random vibrations induced by phenomena such as the impact of waves on the hull, or the operation of the boat's engine. This vibration filtering means that we can use the roll and pitch signal outputs from the MTi-2 motion tracker with great confidence. It also leaves the main AVX control system free to implement its principal control functions, without having to perform error compensation of the roll/pitch signal.’</p><p>The accuracy and stability of the MTi-2 VRU play a crucial role in enabling the JETanchor product to achieve high performance. It can typically maintain a vessel's position to within 1m at sea. System tests have demonstrated the system's ability to maintain a cargo vessel's station 1m from a wharf while a 1 tonne load of bricks was lifted by crane to shore.</p><p><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1592382447914-photo+3.jpg" style="width: 610px;" class="fr-fic fr-dib"></p><p>Ben Reed, CEO of HamiltonJet, says: ‘Our goal in developing the JETanchor product was to bring station keeping to mainstream vessels. In large commercial vessels and ferries, station keeping is a feature which can cost as much as $0.5m to install. JETanchor is typically priced at less than 10% of this, yet its performance in a waterjet propulsion system rivals that of much more expensive systems. JETanchor's outstanding performance is a tribute to the skill and ingenuity of our engineering team, and to the quality of the technology inside it – including the affordable yet high-performance MTi motion tracker supplied by Xsens.’&nbsp;</p><p>To find out more about HamiltonJet and its JETanchor station keeping product, go to <a href="http://www.hamiltonjet.com/global/jetanchor" target="_blank">www.hamiltonjet.com/global/jetanchor</a>. &nbsp;</p><p>&nbsp;</p><p><strong>MTi-2 VRU</strong></p><p>Learn more about the Xsens MTi-2 VRU and <span data-hs-drop="true"><a href="https://www.xsens.com/cs/c/?cta_guid=82326a14-937a-4ae2-b0ed-5e9218e038af&placement_guid=7b7bf30f-9345-4b11-811b-37c05a6fd348&portal_id=3446270&canon=https%3A%2F%2Fwww.xsens.com%2Fcases%2Fkeeping-a-boat-still-on-moving-water-advanced-hamiltonjet-propulsion-control-system-uses-mti-sensor-for-roll-and-pitch-compensation&redirect_url=APefjpGBss3ScaRm8zqyqTYtSgyEbIWlrKs9qJQlOiyMaAdQSc41Vp1V2kr6Qv0pANPHXkhRXX45cT13IB4GTrHqe-M6_wgH-2UuJaS3HeAx_MupKn0MAQ8BeIfBd7FRVToekLnJ9IZY-sY6svl4EzdqRjWiF9KNbnbWY3fC59A2vbbaHsXMYcYJI7BNbaG93rS41FvG6sy0BNGOtR6cxWRPs2cUyV9XDq9MxDBHFp5NDTGv9QTwssipv5N6xSSSZBrpD8Znmv7D4VXHxFeJSpz52XiPnxIhDg&click=bffc5e0e-c679-4e9c-ae45-cb14d30cd2fa&hsutk=465d693af42ae05f614571b3e65e8679&signature=AAH58kEMA0ksQiY3ruTj6_wf16Fv5Vd07Q&utm_referrer=https%3A%2F%2Fwww.xsens.com%2Fexplore%3Ffilter%3Dcases&pageId=30700473825&__hstc=81749512.465d693af42ae05f614571b3e65e8679.1589191131131.1592310119548.1592381053130.73&__hssc=81749512.2.1592381053130&__hsfp=4231159045&contentType=blog-post" rel="noopener noreferrer" target="_blank" title="Go to the product page">go to the product page</a>.</span></p>

Keeping A Boat Still On Moving Water

Advanced HamiltonJet Propulsion Control System Uses MTi Sensor For Roll And Pitch Compensation

<p>The drone, or Unmanned Aerial Vehicle (UAV), has transformed the practice of land surveying, providing a faster, more efficient way to complete large-area surveys complemented by high-resolution visual and thermal aerial images.</p><p>Unfortunately, the two types of conventional drone in common use for surveying today – quadcopters, and fixed-wing craft – both have drawbacks which reduce their effectiveness in surveying and mapping applications.</p><p>Now an ambitious and innovative drone manufacturer, <a href="https://www.atmosuav.com/" rel="noopener" target="_blank">ATMOS UAV</a> based in Delft, The Netherlands, is disrupting the drone market with a breakthrough design combining take-off and landing from helicopters with the long endurance of airplanes. ATMOS UAV’s goal is to provide the ultimate airborne surveying tool offering the industry’s best all-round performance. To achieve the millimeter-level accuracy that ATMOS UAV’s customers value, it relies on the <a href="https://www.xsens.com/mti-products" rel=" noopener" target="_blank">MTi series</a> of integrated <a href="https://www.xsens.com/inertial-sensor-modules" rel=" noopener" target="_blank">inertial sensor modules</a> from Xsens.</p><p><strong>Easy to launch, fly and land</strong></p><p>Of the two conventional types of drone, the fixed-wing type is better for surveying missions once it is in the air: it cruises faster and more efficiently than the other conventional type of drone, the quadcopter. This means that it can sustain longer flights and cover a greater survey area on each mission. It also offers greater stability in flight and is less affected by wind – an important characteristic for surveying missions which need to capture sharp, high-resolution visual and thermal images, unaffected by blur or other visual artefacts.</p><p>The biggest advantage is its manoeuvrability, which leads to the ability to take-off and land from a small footprint using&nbsp;its Vertical Take-Off and Landing (VTOL) capability. Unlike a fixed-wing craft, it requires no runway or slingshot launching device, and operates from a tiny landing area.</p><p>The breakthrough made by ATMOS was to develop Marlyn, a hybrid fixed-wing UAV which performs vertical take-off and landing from a 2m x 2m landing area, but which cruises smoothly and efficiently.</p><p><span class="fr-video fr-deletable fr-fvc fr-dvb fr-draggable" contenteditable="false" draggable="true"><iframe width="640" height="360" src="https://www.youtube.com/embed/LtcLD3zOHAc?&amp;wmode=opaque&amp;enablejsapi=1&amp;origin=https://www.wevolver.com" frameborder="0" allowfullscreen="" class="fr-draggable" data-gtm-yt-inspected-37="true" data-lf-form-tracking-inspected-kn9eq4roawkarlvp="true" data-lf-yt-playback-inspected-kn9eq4roawkarlvp="true" data-lf-vimeo-playback-inspected-kn9eq4roawkarlvp="true"></iframe></span><br></p><p>&nbsp;The fully-electric Marlyn drone includes a redundant dual battery system which enables it to fly uninterrupted for 50 minutes, reaching a top speed of 95km/h when cruising. The flight plan is easy to program before each flight in ATMOS’ intuitive Marlynk software tool. The drone offers impressive stability in flight: it can handle wind speeds up to 6 Bft (45km/h) during take-off, cruising and landing.</p><div class="u_fNK" data-grammarly-part="highlights" style="position: absolute; top: 0px; left: 0px;"><div style="box-sizing: content-box; top: 483px; left: 0px; width: 778px; height: 39px; position: relative; pointer-events: none; overflow: hidden; border: 0px; border-radius: 0px; padding: 0px; margin: 0px;"><div style="position: absolute; top: 0px; left: 0px;"><div style="height: 959px; width: 2485px;"><div><br></div><div><br></div></div></div></div></div><div class="u_fNK" data-grammarly-part="button" style="position: absolute; top: 0px; left: 0px;"><div style="box-sizing: content-box; top: 483px; left: 0px; width: 778px; height: 39px; position: relative; pointer-events: none; overflow: hidden; border: 0px; border-radius: 0px; padding: 0px; margin: 0px;"><div style="position: absolute; transform: translate(-100%, -100%); top: 29px; left: 773px; width: auto; height: auto; pointer-events: all;"><div style="flex-direction: row; display: none; pointer-events: auto;"><div style="position: relative;"><div class="_2vV1Z _3uWIx" style="position: absolute; right: 0px; top: 0px;"><div class="_2mmtW"><div class="-mjUa"><div class="_1NNY0 _3PC-V" style="transform: scale(1);">0</div>&nbsp;Advanced issue found<div class="SY83w _5pAkg">▲</div><div class="_3pmCo"><br></div></div></div></div></div><div><div class="_5WizN _1QzSN"><div class="_3YmQx"><div class="_3QdKe" title="Protected by Grammarly">&nbsp;</div></div></div></div></div></div></div></div><p><br></p><div class="u_fNK" data-grammarly-part="highlights" style="position: absolute; top: 0px; left: 0px;"><div style="box-sizing: content-box; top: 483px; left: 0px; width: 778px; height: 39px; position: relative; pointer-events: none; overflow: hidden; border: 0px; border-radius: 0px; padding: 0px; margin: 0px;"><div style="position: absolute; top: 0px; left: 0px;"><div style="height: 959px; width: 2485px;"><div><br></div><div><br></div></div></div></div></div><div class="u_fNK" data-grammarly-part="button" style="position: absolute; top: 0px; left: 0px;"><div style="box-sizing: content-box; top: 483px; left: 0px; width: 778px; height: 39px; position: relative; pointer-events: none; overflow: hidden; border: 0px; border-radius: 0px; padding: 0px; margin: 0px;"><div style="position: absolute; transform: translate(-100%, -100%); top: 29px; left: 773px; width: auto; height: auto; pointer-events: all;"><div style="flex-direction: row; display: none; pointer-events: auto;"><div style="position: relative;"><div class="_2vV1Z _3uWIx" style="position: absolute; right: 0px; top: 0px;"><div class="_2mmtW"><div class="-mjUa"><div class="_1NNY0 _3PC-V" style="transform: scale(1);">0</div>&nbsp;Advanced issue found<div class="SY83w _5pAkg">▲</div><div class="_3pmCo"><br></div></div></div></div></div><div><div class="_5WizN _1QzSN"><div class="_3YmQx"><div class="_3QdKe" title="Protected by Grammarly">&nbsp;</div></div></div></div></div></div></div></div><p><span class="fr-img-wrap"><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNTg4MzQwMjQwOTQzLU1hcmx5bmsuanBnIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" alt="Marlynk2" srcset="https://www.xsens.com/hs-fs/hubfs/Marlynk2.png?width=408&amp;name=Marlynk2.png 408w, https://www.xsens.com/hs-fs/hubfs/Marlynk2.png?width=815&amp;name=Marlynk2.png 815w, https://www.xsens.com/hs-fs/hubfs/Marlynk2.png?width=1223&amp;name=Marlynk2.png 1223w, https://www.xsens.com/hs-fs/hubfs/Marlynk2.png?width=1630&amp;name=Marlynk2.png 1630w, https://www.xsens.com/hs-fs/hubfs/Marlynk2.png?width=2038&amp;name=Marlynk2.png 2038w, https://www.xsens.com/hs-fs/hubfs/Marlynk2.png?width=2445&amp;name=Marlynk2.png 2445w" sizes="(max-width: 815px) 100vw, 815px" class="fr-fic fr-dii"><span class="fr-inner" contenteditable="true" spellcheck="false"><em>The intuitive user interface of the Marlynk flight planning software</em>&nbsp;</span></span></p><p><br></p><p>ATMOS supplies Marlyn with a choice of surveying cameras which produce visual, thermal or multi-spectral outputs in all the common data formats supported by professional surveying software systems.</p><p><strong>Millimeter-scale geolocation accuracy</strong></p><p>The dynamic characteristics of Marlyn, then, enable surveyors to fly long missions over large survey areas, with the convenience and ease of use that VTOL capability offers.</p><p>But the real test of surveying equipment is its geolocational accuracy – and here Marlyn excels, thanks to its high-performance <a href="https://www.xsens.com/products/mti-100-series" rel=" noopener" target="_blank">MTi-G-710-GNSS</a> motion sensor module from Xsens. The MTi-G-710-GNSS is Xsens’ most full-featured sensor: it integrates a 3D accelerometer, 3D gyroscope, magnetometer and a receiver input for a GNSS satellite positioning signal into a small 37mm x 33mm x 12mm module which weighs just 11g. Low power consumption of just 750mW in normal operation helps ATMOS to prolong the Marlyn’s flight duration between battery charges.</p><p>The MTi-G-710-GNSS provides high-quality attitude, position, velocity, acceleration, magnetic heading and rate-of-turn data. The GNSS receiver features a multiple-constellation configuration which maintains high location accuracy, even during periods of limited GNSS visibility. Proprietary sensor fusion software developed by Xsens combines the unit’s inertial measurements with the satellite signals to produce accurate positioning data at an output data rate of up to 400Hz. In the Marlyn system, the survey outputs and visual/thermal images are tagged with geolocational data accurate to as little as ±10mm.</p><p>The sensor module’s attitude and heading data outputs are also used to stabilize the Marlyn drone in flight, and to enable optical image stabilization. The low latency of the Xsens sensor – less than 2ms – means that these stabilization systems can respond in real-time to events such as gusts of wind which disturb the drone’s attitude.</p><p>Despite the internal complexity of the MTi-G-710-GNSS module’s components, the outputs were easy for Marlyn’s developers to integrate into their system software, thanks to the MT Software Suite developer tool, supplied free by Xsens with any MTi module.</p><p><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNTg4MzQwMzU0Njg4LUFUTU9TLVVBVi5qcGciLCJlZGl0cyI6eyJyZXNpemUiOnsid2lkdGgiOjk1MCwiZml0IjoiY292ZXIifX19" style="width: 800px;" class="fr-fic fr-dib"></p><p>Rene Worms, Global Head of Sales at ATMOS, says that the positional accuracy of Marlyn is the key to its position as the industry’s premium airborne surveying tool. He says: ‘Marlyn offers surveying professionals the highest productivity as well as the most accurate and detailed outputs. To be able to make this promise, we specify premium components which provide the best performance. That’s why we chose the MTi-G-710-GNSS, which gives us a unique combination of high accuracy, reliability, small size and weight, and ease of use.’</p><p><em>For more information about the Marlyn surveying drone, go to&nbsp;</em><a href="http://www.atmosuav.com/" target="_blank"><em>www.atmosuav.com</em></a><em>.</em></p>

Inertial Measurement Units (IMUs)

Latest Posts