Study on potential field based motion planning and control for automated vehicle collision avoidance systems-Reference-Cited by-同舟云学术

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Study on potential field based motion planning and control for automated vehicle collision avoidance systems

Published:2017-02 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE International Conference on Mechatronics (ICM)
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Author:

Wahid Nurbaiti,Zamzuri Hairi,Abdul Rahman Mohd Azizi,Kuroda Satoshi,Raksincharoensak Pongsathom

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7912153/7921067/07921105.pdf?arnumber=7921105

Cited by 22 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. A Survey of Autonomous Vehicle Behaviors: Trajectory Planning Algorithms, Sensed Collision Risks, and User Expectations;Sensors;2024-07-24

2. Geometric field model of driver’s perceived risk for safe and human-like trajectory planning;Transportation Research Part C: Emerging Technologies;2024-02

3. Motion planning and control for autonomous vehicle collision avoidance systems using potential field-based parameter scheduling;Machine Intelligence in Mechanical Engineering;2024

4. A Twisted Gaussian Risk Model Considering Target Vehicle Longitudinal-Lateral Motion States for Host Vehicle Trajectory Planning;IEEE Transactions on Intelligent Transportation Systems;2023-12

5. A Robust Vehicular Control System with Collision Detection and Avoidance Mechanism using SVM Classification;2023 IEEE World Conference on Applied Intelligence and Computing (AIC);2023-07-29

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