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Researchers at the University of Toronto have introduced two new tools to improve the safety and reliability of autonomous vehicles by enhancing their reasoning ability. The tools, called Sliding Window Tracker and SWTrack, use computer vision sensors and additional temporal information to track the position and motion of objects in densely populated areas. This can help self-driving cars better plan their paths and avoid collisions with vehicles, pedestrians, and cyclists.