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Vision systems play crucial role enabling AVs perceive environment cameras sensors providing rich visual information road surroundings enabling AVs detect recognize objects classify road markings understand traffic signs signals predict behavior other road users make decisions navigate safely effectively vision systems must capable operating wide range lighting conditions day night rain fog snow etc ensuring reliable performance all situations current state art vision systems using deep learning techniques trained massive datasets enabling AVs recognize objects classify situations make decisions accurately however challenges remain regarding sensor fusion integrating multiple data sources creating robust perception systems handle rare complex scenarios effectively ensuring safe reliable operation future autonomous driving systems likely rely combination multiple sensors including cameras radar lidar ultrasonic sensors providing redundant information enhance perception capabilities reliability overall system performance。
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