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 cars using radar waves. Cities could potentially deploy EyeDAR 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 struggles to discern the road. EyeDAR provides a clear and precise image in these challenging conditions, resembling a small orange citrus fruit. The technology offers a new way for vehicles to “see,” and its affordability suggests widespread implementation by cities is a viable option. 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)