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In this episode, we talk about how Toyota and Stanford are collaborating to utilize AI for drifting controls and the efforts behind a team at TUM which has resulted in an autonomous race car performing at the capacity of an amateur F1 driver.
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.
A team of scientists at Duke University have taken a technology originally developed for biological imaging, particularly of the eye, and applied it to LiDAR — considerably boosting the performance of the resulting depth-sensing system.
A new approach that allows standard image sensors to see light in three dimensions using a novel design for a single-frequency free space intensity modulator.
A novel class of LiDAR spoofing attacks on autonomous vehicles– the frustum attack, was then later validated using an existing hardware setup.
Designed to address the problem of accurately detecting objects — like other vehicles and pedestrians — at distance, Google and Waymo's 4D-Net offers a novel and generalizable approach to sensor fusion with some impressive results.
A team at the Technical University of Munich (TUM) has developed software which lets race cars compete in motor sports without a driver. The TUM Autonomous Motorsport Team was able to take 1st and 2nd place at the Autonomous Challenges in Indianapolis and most recently at the CES in Las Vegas.
Visible-spectrum, compact, power-efficient, low-loss phase modulator is a breakthrough in integrated photonics; the device will improve LIDAR for remote sensing, AR/VR goggles, quantum information processing chips, implantable optogenetic probes, and more.
Researchers have developed the first LiDAR-based augmented reality head-up display for use in vehicles. Tests on a prototype version of the technology suggest that it could improve road safety by ‘seeing through’ objects to alert of potential hazards without distracting the driver.
A multidisciplinary Swiss team explored the future of urban digitization in its theoretical, technical, and legal dimensions by modeling the city of Sion with an innovative ScanVan.
Find out the difference between two of the most used remote sensing devices: LiDAR and RADAR.
Integrated photonics offers promising solutions in a range of automotive applications.
LiDARs have grown in popularity in recent years as better manufacturing techniques and mass production have lowered the price of this technology.
While autonomous cars have gained swift momentum since Leonardo da Vinci’s self-propelled cart circa 1500, the thought of going completely hands-free still feels slightly supernatural.
