Path planning with static obstacles for USVs via the Hybrid A* algorithm and the artificial potential field method-Reference-Cited by-同舟云学术

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Path planning with static obstacles for USVs via the Hybrid A* algorithm and the artificial potential field method

Published:2022-07-25 Issue: Volume: Page:
ISSN:
Container-title:2022 41st Chinese Control Conference (CCC)
language:
Short-container-title:

Author:

Liu Zhi¹,Li Zhenhua¹,Liang Kejing²,Yao Xuefu³,Zhang Weidong¹

Affiliation:

1. Shanghai Jiao Tong University,Department of Automation,Shanghai,P. R. China,200240

2. Shanghai Jiao Tong University,Department of Electrical Engineering,Shanghai,P. R. China,200240

3. Shanghai Zhoujia Technology Co., Ltd,Shanghai,P. R. China,201111

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9901509/9901494/09902431.pdf?arnumber=9902431

Reference19 articles.

1. Rescue Boat Path Planning in Flooded Urban Environments

2. Dijkstra's and A-Star in Finding the Shortest Path: a Tutorial

3. Path Planning for Autonomous Vehicles in Unknown Semi-structured Environments

4. Motion planning in urban environments

5. Practical search techniques in path planning for autonomous driving;dolgov;Ann Arbor,2008

Cited by 3 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. Path Planning Algorithms for Smart Parking: Review and Prospects;World Electric Vehicle Journal;2024-07-20

2. The Navigation Based on Hybrid A Star and TEB Algorithm Implemented in Obstacles Avoidance;2023 29th International Conference on Mechatronics and Machine Vision in Practice (M2VIP);2023-11-21

3. Empirical Study on the Development of ESS-Based Electric Propulsion System for a Catamaran USV;IEEE Access;2023

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