Analyze the UAV’s video and image contents, design the detection algorithm, obtain the carplate content with carplate location adopting SVM and character recognition utilizing ANN, submit the evidence collection to the UAV’s command and control (C2) system, and offer the warning and decision information to the user in the C2 process; Design the moving object tracking method, realize the automatic detection and tracking of vehicles through the image matching and moving target location. The method presented in this paper is to improve the level of UAV’s intelligence and application abilities.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Application of Object Detection and Tracking Technologies for Unmanned Aircraft Vehicles


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wu, Meiping (editor) / Niu, Yifeng (editor) / Gu, Mancang (editor) / Cheng, Jin (editor) / Huang, Shuling (author) / Wu, Guoqiang (author) / Zhang, Jie (author)

    Conference:

    International Conference on Autonomous Unmanned Systems ; 2021 ; Changsha, China September 24, 2021 - September 26, 2021



    Publication date :

    2022-03-18


    Size :

    7 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Application of Object Detection and Tracking Technologies for Unmanned Aircraft Vehicles

    Huang, Shuling / Wu, Guoqiang / Zhang, Jie | British Library Conference Proceedings | 2022



    Weed detection using unmanned aircraft vehicles

    Pflanz, Michael / Feistkorn, Dominik / Nordmeyer, Henning | DOAJ | 2014

    Free access


    Object Tracking Framework for Unmanned Aerial Vehicles

    Dirir, Ahmed / Elsayed, Hesham | IEEE | 2019