Showing posts with label robustness testing. Show all posts
Showing posts with label robustness testing. Show all posts

Monday, November 19, 2018

Webinar on Robustness Testing of Perception

Zachary Pezzementi and Trenton Tabor have done some great work on perception systems in general, and how image degradation affects things.  I'd previously posted information about their paper, but now there is a webinar available here:
    Webinar home page with details & links:  http://ieeeagra.com/events/webinar-november-4-2018/

This includes pointers to slides, a recorded webinar, the paper, and papers.

My robustness testing team at NREC worked with them on the perception stress testing parts, so here are quick links to the parts covering that part:


Saturday, July 14, 2018

AVS 2018 Panel Session

It was great to have the opportunity to participate in a panel on autonomous vehicle validation and safety at AVS in San Francisco this past week.  Thanks especially to Steve Shladover for organizing such an excellent forum for discussion.

The discussion was the super-brief version. If you want to dig deeper, you can find much more complete slide decks attached to other blog posts:
The first question was to spend 5 minutes talking about the types of things we do for validation and safety.  Here are my slides from that very brief opening statement.



Thursday, June 28, 2018

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 source)