EyeDAR tech could give self-driving cars expanded radar perception

Many cultures explore the idea of a figurative third eye that enhances perception. For autonomous vehicles, the concept is quite literal: radar, working alongside cameras and LiDAR. These systems are typically onboard the vehicle, actively gathering data on its surroundings as it moves. Now, researchers at Rice University, led by Kun Woo Cho, have developed an off-vehicle radar system, EyeDAR, which they say can significantly enhance vehicles' sensing accuracy by communicating critical traffic data to onboard systems.

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Category: Automotive, Transport

Tags: Rice University, Radar, Self-Driving, Autonomous Vehicles