Open AccessResearch on UAV Path Planning Algorithms
Author(s) -
Hao Wang,
Weijun Pan
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/693/1/012120
Subject(s) - flexibility (engineering) , computer science , path (computing) , motion planning , plan (archaeology) , algorithm , artificial intelligence , robot , mathematics , statistics , archaeology , history , programming language
UAVs have received extensive attention and research due to their superior mobility and flexibility, and they replace manned aircraft to perform tasks in some specific complex environments. In order to deal with the complex and changeable environment and various obstacles, it is necessary to use appropriate algorithms to plan the UAV path. This paper divides the existing UAV path planning algorithm research into three categories: traditional algorithm, intelligent algorithm and fusion algorithm. The basic principles, advantages and disadvantages of various algorithms are analyzed, and the future research and development are prospected based on the actual operation of UAV.