News for hackers. Stuff that matters.
Re:Uber to Suspend Autonomous Tests After Arizona Accident by mannykannot on Saturday March 25, 2017 @09:51AM (#13955626)
When reading Google's disclosure reports, note that the human drivers are instructed to preemptively take manual control in situations where an error could have consequences, so the accident-rate statistics do not reflect the systems behavior in the situations that would really test its capabilities.
Re:Uber to Suspend Autonomous Tests After Arizona Accident by panarky on Saturday March 25, 2017 @11:31AM (#13956099)
They also report the number of "disengagements" where the human driver had to take control of the vehicle.

In 2016, Waymo cars drove 636,000 miles with 124 disengagements [1].

Uber’s autonomous cars drove 20,354 miles and had to be taken over at every mile [2].

Uber is a menace.

[1] https://www.wired.com/2017/02/california-dmv-autonomous-car-...

[2] http://www.recode.net/2017/3/16/14938116/uber-travis-kalanic...

Re:Uber to Suspend Autonomous Tests After Arizona Accident by makomk on Saturday March 25, 2017 @12:45PM (#13956424)
Also, Uber outright refused to comply with California law and register their self-driving car program, and it's looking more and more like the reason they did that is so they didn't have to publicly disclose those disengagement numbers.
Re:Uber to Suspend Autonomous Tests After Arizona Accident by tyingq on Saturday March 25, 2017 @11:44AM (#13956151)
I suspect you're right. However, a higher number of disengagements could just point to a more cautious approach, more difficult environment, etc. Hard to pin it exactly to maturity.

For example, I believe Waymo cars drive mostly on a fixed number of preplanned routes. You would expect limited disengagements over time, as it's got tons of data on those specific routes.

Re:Uber to Suspend Autonomous Tests After Arizona Accident by mortehu on Saturday March 25, 2017 @12:24PM (#13956314)
I can't find a complete list, but as I recall, the majority of the accidents consist of Google's vehicles being rear-ended while slowing down to yield at intersections.