Improved Occlusion Scenario Coverage with a POMDP-based Behavior Planner for Autonomous Urban Driving
2021 IEEE International Intelligent Transportation Systems Conference (ITSC)(2021)
摘要
Safely driving through various occlusion scenarios in urban environments, such as bus stops or crosswalks, is challenging for autonomous vehicles (AVs). Improving the ability to handle more occlusion scenarios in urban environments is paramount when using AVs as shuttle buses. An AV could experience deadlock situations in very heavy occlusion scenarios with the worst-case assumption that potential...
更多查看译文
关键词
Monte Carlo methods,Roads,Conferences,Urban areas,Phantoms,System recovery,Markov processes
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要