A 3D-Sparse A* autonomous recovery path planning algorithm for Unmanned Surface Vehicle
Authors:
- Lulu ZhouLZLulu Zhou
- Xiaoming YeXYXiaoming Ye
- Xianyong YangXYXianyong Yang
- Yong ShaoYSYong Shao
- Xiang LiuXLXiang Liu
- Pengzhan XiePXPengzhan Xie
- Yanjia TongYTYanjia Tong
- 25 March 2024
- journal article
- research article
- Published by Elsevier in Ocean Engineering
- Vol. 301
Abstract
No abstract availableKeywords
This publication has 22 references indexed in Scilit:
- The review unmanned surface vehicle path planning: Based on multi-modality constraintOcean Engineering, 2020
- Study on intelligent collision avoidance and recovery path planning system for the waterjet-propelled unmanned surface vehicleOcean Engineering, 2019
- Smoothed A* algorithm for practical unmanned surface vehicle path planningApplied Ocean Research, 2019
- A two-level dynamic obstacle avoidance algorithm for unmanned surface vehiclesOcean Engineering, 2018
- A constrained A* approach towards optimal path planning for an unmanned surface vehicle in a maritime environment containing dynamic obstacles and ocean currentsOcean Engineering, 2018
- The angle guidance path planning algorithms for unmanned surface vehicle formations by using the fast marching methodApplied Ocean Research, 2016
- Unmanned surface vehicles: An overview of developments and challengesAnnual Reviews in Control, 2016
- Angular rate-constrained path planning algorithm for unmanned surface vehiclesOcean Engineering, 2014
- Affective communication in rodents: ultrasonic vocalizations as a tool for research on emotion and motivationCell and tissue research, 2013
- Multiple UAVs path planning algorithms: a comparative studyFuzzy Optimization and Decision Making, 2008