Safety Validation and Edge Case Testing for Autonomous Vehicles (Slides)

Here is a slide deck that expands upon the idea that the heavy tail ceiling is a problem for AV validation. It also explains ways to augment image sensor inputs to improve robustness. Safety Validation and Edge Case Testing for Autonomous Vehicles from Philip Koopman (If slideshare is blocked for you, try this alternate download sour...

Heavy Tail Ceiling Problem for AV Testing

I enjoyed participating in the AV Benchmarking Panel hosted by Clemson ICAR last week.  Here are my slides and a preprint of my position paper on the Heavy Tail Ceiling problem for AV safety testing.AbstractCreating safe autonomous vehicles will require not only extensive training and testing against realistic operational scenarios, but also dealing...

A Reality Check on the 94 Percent Human Error Statistic for Automated Cars

Automated cars are unlikely to get rid of all the "94% human error" mishaps that are often cited as a safety rationale. But there is certainly room for improvement compared to human drivers. Let's sort out the hype from the data.You've heard that the reason we desperately need automated...

Can Mobileye Validate ‘True Redundancy’?

I'm quoted in this article by Junko Yoshida on Mobileye's approach to AV safety.Can Mobileye Validate ‘True Redundancy’?Intel/Mobileye’s robocars start running in JerusalemJunko Yoshida5/22/2018 02:01 PM EDT...Issues include how to achieve “true redundancy” in perception, how to explain objectively what “safe” really means, and how to formulate “a...