Progress in UAV Path Planning Technology based on Machine Vision Navigation

DOI

10.2991/978-94-6463-540-9_52How to use a DOI?

Keywords

Unmanned Aerial Vehicle; Visual Navigation; Path Planning

Abstract

With the rapid development of Unmanned Aerial Vehicles (UAV) technology, their applications in agricultural monitoring, search and rescue, environmental monitoring and other fields are increasing. These application scenarios put forward higher requirements for the autonomous navigation and path planning capabilities of UAVs. UAV path planning technology based on machine vision is a key technology for UAV autonomous navigation. The technology also has received the widespread attention in recent years. This paper reviews the UAV path planning technology based on machine vision, and makes a comprehensive analysis from basic principles, key technologies to future development directions. First of all, this paper introduces the basic concept of UAV and the role of machine vision in UAV route planning. Secondly, the application of visual localization, environment perception, target detection and machine learning in path planning is discussed in detail. At the same time, the analysis of the main challenges facing the current technology, including environmental complexity and computing resource constraints and real-time data processing, etc. Finally, the development directions of future technologies are prospected, such as the application of advanced machine learning techniques, swarm UAV disaster response, and real-time obstacle avoidance.

Copyright

© 2024 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.

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TY  - CONF
AU  - Yuan Liu
PY  - 2024
DA  - 2024/10/16
TI  - Progress in UAV Path Planning Technology based on Machine Vision Navigation
BT  - Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024)
PB  - Atlantis Press
SP  - 520
EP  - 530
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-540-9_52
DO  - 10.2991/978-94-6463-540-9_52
ID  - Liu2024
ER  -