Research on Unmanned Aerial Vehicle Path Planning

被引:2
|
作者
Luo, Junhai [1 ]
Tian, Yuxin [1 ]
Wang, Zhiyan [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu 611731, Peoples R China
关键词
unmanned aerial vehicle; path planning; survey; algorithmic level; functional level; UAV communication networks; NEURAL-NETWORK; LARGE-SCALE; PERSISTENT SURVEILLANCE; DIFFERENTIAL EVOLUTION; GENETIC ALGORITHM; DATA-COLLECTION; MULTIPLE UAVS; OPTIMIZATION; SWARM; COVERAGE;
D O I
10.3390/drones8020051
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
As the technology of unmanned aerial vehicles (UAVs) advances, these vehicles are increasingly being used in various industries. However, the navigation of UAVs often faces restrictions and obstacles, necessitating the implementation of path-planning algorithms to ensure safe and efficient flight. This paper presents innovative path-planning algorithms designed explicitly for UAVs and categorizes them based on algorithmic and functional levels. Moreover, it comprehensively discusses the advantages, disadvantages, application challenges, and notable outcomes of each path-planning algorithm, aiming to examine their performance thoroughly. Additionally, this paper provides insights into future research directions for UAVs, intending to assist researchers in future explorations.
引用
收藏
页数:29
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