Newest Tesla Autopilot Data Shows A 40% Drop in Crashes (bloomberg.com)
There's a surprise in the data from an investigation into Tesla safety by the U.S. National Highway Traffic Safety Administration.
An anonymous reader quotes Bloomberg:
[W]hile all Tesla vehicles come with the hardware necessary for Autopilot, you need a software upgrade that costs thousands of dollars to make it work. Since buyers can add Autopilot features after purchase, this provides a perfect before-and-after comparison. It turns out that, according to the data Tesla gave investigators, installing Autopilot prevents crashes -- by an astonishing 40 percent...
Now -- thanks to an investigation that initially hurt the company -- there is finally some real data, and it's good news for Tesla... As the software matures to match the new hardware, Musk said on Thursday via a Tweet, Tesla is targeting a 90 percent reduction in car crashes.
UPDATE (5/4/18): The NHTSA has now clarified that their study "did not assess the effectiveness of this technology.
UPDATE (2/16/19): The study's underlying data reveals serious flaws in the methodology that undermine its credibility, according to new analysis from a research and consulting firm.
Now -- thanks to an investigation that initially hurt the company -- there is finally some real data, and it's good news for Tesla... As the software matures to match the new hardware, Musk said on Thursday via a Tweet, Tesla is targeting a 90 percent reduction in car crashes.
UPDATE (5/4/18): The NHTSA has now clarified that their study "did not assess the effectiveness of this technology.
UPDATE (2/16/19): The study's underlying data reveals serious flaws in the methodology that undermine its credibility, according to new analysis from a research and consulting firm.
Why would you assume "a bad computer program with a dozen eyes is likely to be better than a bag of meat with only two"?
I'm not up on state of the art on computer image/object recognition but the experience I have from about 10 years ago leads me to believe that there are still challenges to be solved, especially when it comes to recognizing movements and intentions. As a driver, some of the cues I rely on include turning indicators, wheel positions, other driver/pedestrian/cyclist eye contact as well as sounds.
I'm not saying that the challenge of coming up with software that allows a car to autonomously drive itself better than a human isn't possible. I just challenge the assertion that a computer with multiple cameras is likely superior to a human.
Mimetics Inc. Twitter