{"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/pedestrian-collision-avoidance-system-for","title":"Pedestrian Collision Avoidance System for Scenarios with Occlusions","arxiv_id":"1904.11566","date":"2019-04-25","proceeding":null,"authors":["Markus Schratter","Maxime Bouton","Mykel J. Kochenderfer","Daniel Watzenig"],"abstract":"Safe autonomous driving in urban areas requires robust algorithms to avoid\ncollisions with other traffic participants with limited perception ability.\nCurrent deployed approaches relying on Autonomous Emergency Braking (AEB)\nsystems are often overly conservative. In this work, we formulate the problem\nas a partially observable Markov decision process (POMDP), to derive a policy\nrobust to uncertainty in the pedestrian location. We investigate how to\nintegrate such a policy with an AEB system that operates only when a collision\nis unavoidable. In addition, we propose a rigorous evaluation methodology on a\nset of well defined scenarios. We show that combining the two approaches\nprovides a robust autonomous braking system that reduces unnecessary braking\ncaused by using the AEB system on its own.","url_abs":"http://arxiv.org/abs/1904.11566v1","url_pdf":"http://arxiv.org/pdf/1904.11566v1.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":"pedestrian-collision-avoidance-system-for","repo_url":"https://github.com/sisl/PedestrianAvoidancePOMDP.jl","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"autonomous-driving","task_name":"Autonomous Driving"},{"task_slug":"collision-avoidance","task_name":"Collision Avoidance"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}