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.


    Access

    Download


    Export, share and cite



    Title :

    Progress in UAV Path Planning Technology based on Machine Vision Navigation


    Additional title:

    Advances in Computer Science res


    Contributors:
    Wang, Yulin (editor) / Liu, Yuan (author)

    Conference:

    International Conference on Image, Algorithms and Artificial Intelligence ; 2024 ; Singapore, Singapore August 09, 2024 - August 11, 2024



    Publication date :

    2024-10-13


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





    Vision-Based Navigation Frame Mapping and Path Planning for Micro Air Vehicles

    Yu, H. / Beard, R. / Byrne, J. et al. | British Library Conference Proceedings | 2009


    Machine Learning Based Path Planning for Improved Rover Navigation

    Abcouwer, Neil / Daftry, Shreyansh / del Sesto, Tyler et al. | IEEE | 2021


    Machine Learning Based Path Planning for Improved Rover Navigation

    Yue, Yisong / Song, Jialin / Lanka, Ravi et al. | NTRS | 2021


    Vision-Based Navigation Frame Mapping and Path Planning for Micro Air Vehicles

    Yu, Huili / Beard, Randy / Byrne, Jeffrey | AIAA | 2009


    UAV Path Planning Based on Vision

    Zhang, Le / Chen, Junfeng / Wu, Chao et al. | IEEE | 2023