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 ...

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 ...

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 ...

Metawave's Micro-Doppler Radar Signature is one of the many AI features responsible for target discrimination -- an integral part of the WARLORD radar platform.

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 ...

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

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.

Three of the sensory systems currently in use in autonomous vehicles—cameras, ultrasonic detectors and radar—are reasonably cheap and easy to deploy. A fourth, lidar, is not.