Comparative Analysis of Algorithms and Applications in Unmanned Aerial Vehicle Path Planning in Recent Years

DOI

10.2991/978-94-6463-300-9_44How to use a DOI?

Keywords

UAV; Path planning; GA; ACO; PSO

Abstract

The research of UAVs(Unmanned Aerial Vehicle) has received a lot of attention in recent years, and more and more UAV manufacturers have emerged in China and abroad, such as DJI, 3D Robotics, Parrot and so on. The advantage of UAVs over manned vehicles is that they can perform missions in dangerous and complex environments, such as fires, battlefields, earthquake debris, etc. With the increase in automation and intelligence of UAVs, UAV technology has been developed as never before, and it will play an increasingly important role in the future military and civilian sectors. On the military side, UAVs can perform military tasks such as reconnaissance, attack, and electronic countermeasures. On the civilian side, UAVs can be used for weather detection, pesticide spraying, geological surveys, disaster relief and many other areas. The path planning system plays a crucial role when UAVs perform these tasks. Due to the fuel limitation of UAVs, how to avoid obstacles and choose the proper route in a reasonable and safe manner, and even how to deal with unexpected situations, become the focus of UAV path planning. In recent years, many new path planning algorithms have been proposed to accomplish these increasingly complex tasks. Then, the advantages and disadvantages of GA(Genetic Algorithm), ACO(Ant Colony Optimization), and PSO(Particle Swarm Optimization)are discussed, and the future development direction and trend of UAV path planning is outlined.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Dongsheng Hu
AU  - Yu Kuang
AU  - Taiyao Zhang
PY  - 2023
DA  - 2023/11/27
TI  - Comparative Analysis of Algorithms and Applications in Unmanned Aerial Vehicle Path Planning in Recent Years
BT  - Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023)
PB  - Atlantis Press
SP  - 431
EP  - 446
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-300-9_44
DO  - 10.2991/978-94-6463-300-9_44
ID  - Hu2023
ER  -