Matt Harrison, Director of AI and Safa Salman, Staff Hardware Engineer, Metawave Palo Alto, U.S.A.
One roadblock to highly automated driving is the need to develop a sensor technology that can sufficiently detect and classify objects — especially ones that are close together — at long distances, during inclement weather, around curves and corners, and in other challenging circumstances. With the help of Ansys HFSS simulation, radar and 5G startup Metawave has built a breakthrough radar platform that overcomes these issues to help fast-track autonomous driving.
In a perfect driving scenario, streets would be free of pedestrians, bicyclists, children playing, animals running free, trash, slick spots, traffic cones and other potential hazards, including careless or distracted motorists. Unfortunately, the real roadway is much more complicated, and today, automakers are building highly automated features that still require a driver-in-the-loop.