A “seeing eye” was made for self-driving cars (1)

Rice University researchers have developed EyeDAR, a low-cost radar sensor designed to assist autonomous vehicles. The device replaces complex calculations with analog circuitry and communicates with vehicles using radar waves. EyeDAR’s affordability—potentially enabling widespread deployment—could create an additional safety layer 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 interpret the road. EyeDAR provides a clear and precise image in these challenging circumstances, resembling a small orange citrus fruit. Cities could potentially install these sensors on intersections, lampposts, and traffic signs, offering a supplementary security network for self-driving automobiles.

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