Path Planning for Autonomous Underwater Vehicle Based on Artificial Potential Field and Modified RRT
Author:
Affiliation:
1. China Agricultural University,National Innovation Center for Digital Fishery,College of Information and Electrical Engineering,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9349269/9349270/09349402.pdf?arnumber=9349402
Cited by 14 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. Obstacle avoidance path planning for intelligent vehicles based on improved RRT algorithm;2023 7th CAA International Conference on Vehicular Control and Intelligence (CVCI);2023-10-27
2. End-to-End AUV Local Motion Planning Method Based on Deep Reinforcement Learning;Journal of Marine Science and Engineering;2023-09-14
3. An AUV Path Planning Method Based on Improved APF-RRT*;2023 IEEE International Conference on Mechatronics and Automation (ICMA);2023-08-06
4. Comprehensive Ocean Information-Enabled AUV Motion Planning Based on Reinforcement Learning;Remote Sensing;2023-06-12
5. Recovery Path Planning for Autonomous Underwater Vehicles Using Constrained Bi-RRT*-Smart Algorithms;OCEANS 2023 - Limerick;2023-06-05
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