{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/on-a-formal-model-of-safe-and-scalable-self","title":"On a Formal Model of Safe and Scalable Self-driving Cars","arxiv_id":"1708.06374","date":"2017-08-21","proceeding":null,"authors":["Shai Shalev-Shwartz","Shaked Shammah","Amnon Shashua"],"abstract":"In recent years, car makers and tech companies have been racing towards self\ndriving cars. It seems that the main parameter in this race is who will have\nthe first car on the road. The goal of this paper is to add to the equation two\nadditional crucial parameters. The first is standardization of safety assurance\n--- what are the minimal requirements that every self-driving car must satisfy,\nand how can we verify these requirements. The second parameter is scalability\n--- engineering solutions that lead to unleashed costs will not scale to\nmillions of cars, which will push interest in this field into a niche academic\ncorner, and drive the entire field into a \"winter of autonomous driving\". In\nthe first part of the paper we propose a white-box, interpretable, mathematical\nmodel for safety assurance, which we call Responsibility-Sensitive Safety\n(RSS). In the second part we describe a design of a system that adheres to our\nsafety assurance requirements and is scalable to millions of cars.","url_abs":"http://arxiv.org/abs/1708.06374v6","url_pdf":"http://arxiv.org/pdf/1708.06374v6.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"on-a-formal-model-of-safe-and-scalable-self","repo_url":"https://github.com/PhilippeW83440/CarND-Path-Planning-Project","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"on-a-formal-model-of-safe-and-scalable-self","repo_url":"https://github.com/Winaway/Path_planning","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"on-a-formal-model-of-safe-and-scalable-self","repo_url":"https://github.com/intel/ad-rss-lib","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"autonomous-driving","task_name":"Autonomous Driving"},{"task_slug":"self-driving-cars","task_name":"Self-Driving Cars"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1708.06374","atlas_url":"https://app.syntology.ai/?focus=1708.06374","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}