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About 0.49 second (490 milliseconds) before the crash, the system detected a stationary object in the Tesla’s path. The forward collision warning activated, displaying a visual warning and sounding an auditory warning to the driver. By the moment of impact, the Tesla had accelerated to a speed of 30.9 mph.
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AEB did not activate during the event, and data show no driver-applied braking or steering before the crash. Tesla’s AEB is a radar/camera fusion system that is designed for front-to-rear collision mitigation or avoidance. According to the company, the system requires agreement from both the radar and the camera to initiate AEB; complex or unusual vehicle shapes can delay or prevent the system from classifying vehicles as targets or threats. [1]
Notice the last line. The system still has to recognize an obstacle as being visually car-like before braking to avoid hitting it. If it's not recognized as a vehicle, the car will not stop.
This was in January 2018, but it was a 2014 vehicle, which would mean the old Mobileye vision based collision system, right? We know Mobileye works that way, trying to draw boxes around car rear ends, because people have bought them and made videos showing what they see. Did that get fixed? Can it be fixed with a vision-based system? This is the big weakness of a no-LIDAR system.
Here, the driver had 3 seconds to react, because the car ahead turned out of the lane to evade the fire truck well before reaching it. Compare this 2017 video of a Tesla hitting a construction barrier. The car ahead didn't turn until just before the barrier, only giving the driver under 1 second to react.[2] Same failure to detect a lane obstruction, but not enough time for the driver to do anything about it.
[1] https://www.ntsb.gov/investigations/AccidentReports/Reports/...