Researchers detect and classify multiple objects without images High-speed method uses less computational power, could be useful for autonomous driving Date: May 3, 2023 Source: Optica Summary ...

Radar-based perception solution for autonomous driving – which has yet to see commercialization by players in the market – is under research & development at the Information Processing Lab ...

Radar uses radio waves to detect objects and determine their range, angle, and/or velocity while lidar does basically the same thing, but with pulsed laser light rather than radio waves.

NXP Semiconductors introduces S32R47 radar processors, enhancing performance for advanced autonomous driving applications and improved safety features.

The automotive industry has seen significant advancements with radar sensors improving vehicle safety and convenience. These sensors are crucial for ADAS and autonomous driving technologies. The ...

India's autonomous mobility vision relies heavily on ADAS, with radar technology emerging as crucial for safety in challenging driving conditions. Unlike vision-based systems, radar excels in ...

Researchers at TU Graz have modelled an AI system for automotive radar sensors that filters out interfering signals caused by other radar sensors and dramatically improves object detection. Now ...

New research paper titled “Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving” from researchers at Uber. Abstract “We present an end-to-end method for object ...