AIB-MDP: Continuous Probabilistic Motion Planning for Automated Vehicles by Leveraging Action Independent Belief Spaces-Reference-Cited by-同舟云学术

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AIB-MDP: Continuous Probabilistic Motion Planning for Automated Vehicles by Leveraging Action Independent Belief Spaces

Published:2022-10-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
language:
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Author:

Naumann Maximilian¹,Stiller Christoph²

Affiliation:

1. Bosch Center for Artificial Intelligence,Germany

2. Karlsruhe Institute of Technology (KIT),Karlsruhe,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981696.pdf?arnumber=9981696

Reference30 articles.

1. A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles

2. Decision- Time Postponing Motion Planning for Combinatorial Uncertain Maneuvering

3. A non-conservatively defensive strategy for urban autonomous driving

4. CommonRoad: Composable benchmarks for motion planning on roads

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Occlusion-Aware Path Planning for Collision Avoidance: Leveraging Potential Field Method with Responsibility-Sensitive Safety;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24

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