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