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.
Progress in UAV Path Planning Technology based on Machine Vision Navigation
Advances in Computer Science res
International Conference on Image, Algorithms and Artificial Intelligence ; 2024 ; Singapore, Singapore August 09, 2024 - August 11, 2024
Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024) ; Chapter : 52 ; 520-530
2024-10-13
11 pages
Article/Chapter (Book)
Electronic Resource
English
Vision-Based Navigation Frame Mapping and Path Planning for Micro Air Vehicles
British Library Conference Proceedings | 2009
|UAV Path Planning Based on Vision
IEEE | 2023
|