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On a Formal Model of Safe and Scalable Self-driving Cars | | Shai Shalev-Shwartz
; Shaked Shammah
; Amnon Shashua
; | | Date: |
21 Aug 2017 | | Abstract: | In recent years, car makers and tech companies are racing toward self driving
cars. It seems that the main parameter in this race is who will have the first
car on the road. The goal of this paper is to add to the equation two
additional crucial parameters. The first is standardization of safety assurance
--- what are the minimal requirements that every self-driving car must satisfy,
and how can we verify these requirements. The second parameter is scalability
--- engineering solutions that lead to unleashed costs will not scale to
millions of cars, which will push interest in this field into a niche academic
corner, which might drive the entire field into a "winter of autonomous
driving". In the first part of the paper we propose a white-box, interpretable,
mathematical model for safety assurance. In the second part we describe a
design of a system that adheres to our safety assurance requirements and is
scalable to millions of cars. | | Source: | arXiv, 1708.6374 | | Services: | Forum | Review | PDF | Favorites | |
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