Recent advances in mobile computing and embedded systems have had a transformative impact in the field of Unmanned Aircraft Systems (UASs). These advances have unlocked a great number of new capabilities ranging from realtime machine learning for detection and tracking of targets, and autonomous intelligent control for mission-critical trajectory planning. This paper introduces Hyperion, a robust detect, track and follow algorithm for UASs, leveraging and integrating various computer vision techniques and a combination of two proportional integral derivative (PID) controllers for following a moving vehicle. The proposed system is evaluated under real settings using off-the-shelf hardware and an elaborated comparison is made with a variety of state-of-the-art trackers available in the OpenCV library.


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    Title :

    Hyperion: A Robust Drone-based Target Tracking System


    Contributors:


    Publication date :

    2021-06-15


    Size :

    2970613 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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