Artificial Intelligence is still a long way from being as intelligent as (some) humans, but there have been major improvements that are hard to dismiss. Self driving cars and cars with auto-pilot systems make bold claims, but it isn’t until they’re tested in real-world conditions that those claims can be verified. Well here’s some solid proof for Tesla.
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The Tesla here is on a highway in the Netherlands. It is a Tesla Model X. The car isn’t driving itself, but it is scanning the roads with a radar detection system. The Model X is accelerating behind a steady stream of traffic when disaster strikes for the cars ahead of it. Yet the Tesla alarms just moments before the accident happens. The whole incident was caught on dashcam.
The site electrek broke the story:
“With the release of Tesla’s version 8.0 software update in September, the automaker announced a new radar processing technology…One of the main features enabled by the new radar processing capacity is the ability for the system to see ahead of the car in front of you and basically track two cars ahead on the road. The radar is able to bounce underneath or around the vehicle in front of the Tesla Model S or X and see where the driver potentially can not because the leading vehicle is obstructing the view.
In the video…we can hear the Tesla Autopilot’s Forward Collision Warning sending out an alert for seemingly no reason, but a fraction of a second later we understand why when the vehicle in front of the Tesla crashes into an SUV that wasn’t visible from the standpoint of the Tesla driver, but apparently it was for the Autopilot’s radar.”
The implications here are staggering. Not only does the Tesla do what it is advertised to do, but we–as passive observers–get to witness the clear advantage of functional early warning. Viewers know this accident is about to happen and it still happens surprisingly fast.
The point is that the reaction time of the computer is substantially better than that of the driver in this situation.