首页> Sensors (Basel, Switzerland)> A Hybrid Multi-Target Path Planning Algorithm for Unmanned Cruise Ship in an Unknown Obstacle Environment.

A Hybrid Multi-Target Path Planning Algorithm for Unmanned Cruise Ship in an Unknown Obstacle Environment.

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第一作者： Jiabin,Yu

第一单位： School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.;Beijing Laboratory for Intelligent Environmental Protection, Beijing Technology and Business University, Beijing 100048, China.;State Environmental Protection Key Laboratory of Food Chain Pollution Control, Beijing Technology and Business University, Beijing 100048, China.

作者： Jiabin,Yu ^[1] ; Guandong,Liu ^[1] ; Jiping,Xu ^[1] ; Zhiyao,Zhao ^[1] ; Zhihao,Chen ^[1] ; Meng,Yang ^[1] ; Xiaoyi,Wang ^[1] ; Yuting,Bai ^[1]

作者单位： School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.;Beijing Laboratory for Intelligent Environmental Protection, Beijing Technology and Business University, Beijing 100048, China.;State Environmental Protection Key Laboratory of Food Chain Pollution Control, Beijing Technology and Business University, Beijing 100048, China. ^[1]

关键词 improved D* Lite algorithm improved grey wolf optimization algorithm unknown obstacle environment unmanned cruise ship multi-target path planning

医学主题词算法(Algorithms);计算机模拟(Computer Simulation);船舶(Ships);旅行(Travel)

DOI 10.3390/s22072429

PMID 35408049

发布时间 2022-04-15

基金项目

61903008/National Natural Science Foundation of China 2018000026833TD01/Beijing Excellent Talent Training Support Project for Young Top-Notch 597 Team 2020A28/Beijing Talents Project

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