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October 30, 2019 02:10 am
Original Link: http://rss.slashdot.org/~r/Slashdot/slashdot/~3/J_juIybgARY/mit-taught-self-driving-cars-to-see-around-corners-with-shadows
MIT Taught Self-Driving Cars To See Around Corners With Shadows
Researchers from MIT have developed a system that could help cars prevent collisions by, essentially, looking around corners. They call it ShadowCam. ExtremeTech reports: ShadowCam uses a sequence of four video frames from a camera pointed at the region just ahead of the car. The AI maps changes in light intensity over time, and specific changes can indicate another vehicle is approaching from an unseen area. This is known as Direct Sparse Odometry, a way to estimate motion by analyzing the geometry of a sequential image -- it's the same technique NASA uses on Mars rovers. The system classifies each image as stationary or dynamic (moving). If it thinks the shadow points to a moving object, the AI driving the car can make changes to its path or reduce speed. The researchers tested this system with a specially rigged "autonomous wheelchair" that navigated hallways. ShadowCam was able to detect when a person was about to walk out in front of the wheelchair with about 70 percent accuracy. With a self-driving car in a parking garage, the researchers were able to tune ShadowCam to detect approaching vehicles 0.72 seconds sooner than lidar with an accuracy of about 86 percent. However, the system has been calibrated specifically for the lighting in those situations. The next step is to enable ShadowCam in varying light and situations.Read more of this story at Slashdot.
Original Link: http://rss.slashdot.org/~r/Slashdot/slashdot/~3/J_juIybgARY/mit-taught-self-driving-cars-to-see-around-corners-with-shadows
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