Validating self-driving cars requires so, so much more than just "geo-fencing" if you want to make the problem tractable. My Safe AI 2019 paper and presentation explain and illustrate why this is the case.
Paper: https://users.ece.cmu.edu/~koopman/pubs/Koopman19_SAFE_AI_ODD_OEDR.pdf
Download slides: https://users.ece.cmu.edu/~koopman/pubs/koopman19_SAFE_AI_slides.pdf
(For slideshare version see below)
How Many Operational Design Domains, Objects, and Events
Phil Koopman & Frank Fratrik
Abstract:
A first step toward validating an autonomous vehicle is deciding what aspects of the system need to be validated. This paper lists factors we have found to be relevant in the areas of operational design domain, object and event detection and response, vehicle maneuvers, and fault management. While any such list is unlikely to be complete, our contribution can form a starting point for a publicly available master list of considerations to ensure that autonomous vehicle validation efforts do not contain crucial gaps due to missing known issues.
Paper: https://users.ece.cmu.edu/~koopman/pubs/Koopman19_SAFE_AI_ODD_OEDR.pdf
Download slides: https://users.ece.cmu.edu/~koopman/pubs/koopman19_SAFE_AI_slides.pdf
(For slideshare version see below)
How Many Operational Design Domains, Objects, and Events
Phil Koopman & Frank Fratrik
Abstract:
A first step toward validating an autonomous vehicle is deciding what aspects of the system need to be validated. This paper lists factors we have found to be relevant in the areas of operational design domain, object and event detection and response, vehicle maneuvers, and fault management. While any such list is unlikely to be complete, our contribution can form a starting point for a publicly available master list of considerations to ensure that autonomous vehicle validation efforts do not contain crucial gaps due to missing known issues.
