Improved Occlusion Scenario Coverage with a POMDP-based Behavior Planner for Autonomous Urban Driving

2021 IEEE International Intelligent Transportation Systems Conference (ITSC)(2021)

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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...
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关键词
Monte Carlo methods,Roads,Conferences,Urban areas,Phantoms,System recovery,Markov processes
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