Open AccessResearch Status and Development Trend of Path Planning Algorithm for Unmanned Vehicles
Author(s) -
Kaida Lu,
Yan Zhang,
Huiyuan Li
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1213/3/032006
Subject(s) - motion planning , path (computing) , unmanned surface vehicle , computer science , task (project management) , real time computing , systems engineering , operations research , engineering , artificial intelligence , marine engineering , robot , programming language
With the wide application of unmanned ships in the fields of water surface bleaching, sea exploration, water quality monitoring and emergency rescue, unmanned ship technology has attracted more and more people’s attention. Due to the navigation environment of unmanned ship is very complex, diverse and changeable, it has become the primary task of unmanned ship technology research to study how to use path planning algorithm to integrate a large number of multi-sensor data, quickly and accurately make navigation strategies and achieve accurate motion control. This paper mainly summarizes the current research status of unmanned ship path planning algorithms, analyzes the differences and advantages of various path planning algorithms in practical applications, and finally points out the research trend of unmanned ship path planning algorithms.