Amnon Shashua, Shaked Shammah, Shai Shalev-Shwartz - 2017
Paper Links: Full-Text
Publications: arXiv Add/Edit
In recent years, car makers and tech companies have been racing towards 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, and 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.
Library implementing the Responsibility Sensitive Safety model (RSS) for Autonomous Vehicles
Self-Driving Car Engineer Program: Path Planning Project
The path planning module with udacity simulatior
this is a project of selfdrivingcar nanodegree from udacity