From the wiki article about the Uber incident: > The recorded telemetry showed the system had detected Herzberg six seconds before the crash, and classified he

From the wiki article about the Uber incident: > The recorded telemetry showed the system had detected Herzberg six seconds before the crash, and classified her first as an unknown object, then as a vehicle, and finally as a bicycle, each of which had a different predicted path according to the autonomy logic. 1.3 seconds prior to the impact, the system determined that emergency braking was required, which is normally performed by the vehicle operator. However, the system was not designed to alert the operator, and did not make an emergency stop on its own accord, as "emergency braking maneuvers are not enabled while the vehicle is under computer control, to reduce the potential for erratic vehicle behavior", according to NTSB So Uber had a lot of systemtic issues leading to the crash, but even if most of those were fixed, I think Comma's approach works better here because it is explicitly not trying to do any of this fancy classification and prediction. If a human sees an unknown moving object near the road at night, they start slowing down even before they have identified the object. Comma is trained to just do what a human would do, so it will also slow down. [1] https://en.wikipedia.org/wiki/Death_of_Elaine_Herzberg https://en.wikipedia.org/wiki/Death_of_Elaine_Herzberg