Rice University researchers have developed EyeDAR, a low-cost radar sensor designed to assist autonomous vehicles. The device replaces complex calculations with analog hardware and communicates with vehicles using radar waves. Cities could potentially install EyeDAR sensors on street signs, traffic markers, and intersections to create an additional safety network for self-driving cars. A significant challenge for autonomous vehicles is navigating in dense fog or heavy rain, conditions that can obscure visibility to the point where even a human observer cannot discern the road. EyeDAR provides a clear and accurate image in these challenging conditions, resembling a small orange citrus fruit. Topics: #linnad #rice #seeing Post navigation A “seeing eye” was made for self-driving cars (1) A “seeing eye” was made for self-driving cars (1)