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A few weeks after a woman was struck and killed by an Uber self-driving crossover in Arizona, the crash was recreated using heat seeking, thermal-imaging sensors.

With that night vision technology — used by the military and luxury cars for decades — the pedestrian is clearly identified more than five seconds before impact, which would have given the car time to stop or swerve.

Since the accident in March, autonomous car researchers' eyes have been opening to the need to teach robots how to drive in the dark and avoid people who wander into the road. After all, pedestrian deaths are up 46 percent since 2009, and three-quarters of them happen at night, according to federal data. One fairly obvious solution has been in some cars for almost 20 years: Night vision that can detect the heat of a human body.



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Arizona Fatality Pretty Much Proves Uber Hadn't Work On Pedestrian Safety As Much As It Should Have

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