Autonomous Vehicles (AVs) are poised to revolutionize human transportation by making it more safe, comfortable, and reliable. From passenger travel to cargo transportation, AVs equipped with AI and sensors offer tremendous potential.
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Autonomous Vehicles
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In this episode, we talk about a TUM spin-off - DeepDrive that wants to address the difficulties in making new EVs from scratch by developing a “plug-and-play” platform along with DLR proposal for a hydrogen plug-in hybrid interurban vehicle to meet the carbon reduction targets of the European Union
Molecular particle free inks can offer extreme formability and stretchability, allowing the design and production of 3D shaped and/or in-mold electronics parts with extreme curvatures and complex shapes.
This video shows how the ML-trained MEMS-IMU performs in the INS mechanization compared to the same MEMS IMU but without using the ML
In this episode, we talk about how researchers plan to orchestrate the movement of a fleet of cars in real-time to avoid or minimize waiting periods at stoplights and how off-road navigation is being tackled in a way that’ll make your car understand the dynamics of its surroundings like a human.
EPFL scientists have built a compact waveguide amplifier by successfully incorporating rare-earth ions into integrated photonic circuits. The device produces record output power compared to commercial fiber amplifiers, a first in the development of integrated photonics over the last decades.
3 minutes read
In the not-too-distant future, autonomous, networked vehicles will be able to handle most tasks independently. However, they are not yet capable of dealing with all traffic situations. If they encounter a problem that they do not know how to solve, safety comes first.
4 minutes read
With the Interurban Vehicle (IUV), the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; DLR) has developed a ground-breaking concept for mid- and upper range vehicles.
5 minutes read
Using satellite imagery or road schematic maps as "side information," the ViKiNG robot can plan its own miles-long route to a goal — measurably outperforming its strongest competitors, even when its side information is inaccurate or outdated.
This research predicts the adaptive cruise control set speed profile in the user-defined range for the future time steps, optimizing the engine operating point (EOP) in real-time. The prediction of EOP was made by a deep learning model using all the parameters affecting the engine performance.
A novel mathematical approach for planning the autonomous vehicle motion in a constrained space
Attention: Don’t presume human or model-generated labels to be the growth truth for machine learning deployment in autonomous vehicular systems.
Advances in software allow a customized car to perform controlled, autonomous drifting to enhance active safety and to give drivers the skills of professional racers.
Highly automated and autonomous driving are getting ever nearer to becoming a reality. This technology holds the potential to make transport systems safer, more efficient and more convenient.
4 minutes read
Article #4 of the IoT Foundation Series. 5G and 6G will assist in delivering smarter communication between city infrastructure and transportation.
The ROboMObil (ROMO) has been transferring space research to the road since 2011. The project began a few years earlier at the DLR when researchers at the Robotics and Mechatronics Center (RMC) had the idea to combine rover technology developed for Mars and lunar vehicles with electric mobility.
4 minutes read
