The development of navigation and tracking of an object using unmanned aerial vehicles (UAV) has been evolved more advanced. The utilization of this technology is scattered throughout the area including for search and rescue in small and large areas. In this research, the UAV used is a multirotor based on camera for human detection that has been developed and integrated into a fully autonomous system. The first stage is designing a controller and the second step is to integrate the companion computer on the quadcopter that has the OpenCV library installed with the HOG and SVM methods. The system presented in this paper is able to perform the stable flying via PID controller. The output response of roll, pitch, and yaw has an overshoot of 0.5 %. Identify target in the form of human body in real-time and identify target location based on the direction of the Earth's compass with test result has average error, latitude 1 = 0.026%, longitude 1 = 0.034%, latitude 2 = 0.016%, and longitude 2 = 0.00168%.


    Access

    Download


    Export, share and cite



    Title :

    Autonomous Quadcopter Based Human Detection System for Search and Rescue


    Contributors:
    Al Ayubi, F. G. (author) / Irmian, I (author) / Uswarman, R. (author) / Istiqphara, S. (author)

    Publication date :

    2019-11-27


    Remarks:

    International Journal of Engineering and Science Applications; Vol 6, No 2 (2019): VOLUME 6 NO 2 NOVEMBER 2019; 60-66 ; 2406-9833


    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629




    Vision Based Pad Detection for Autonomous Landing Quadcopter

    Hariyono, Joko / Saputro, Joko Slamet / Adrianto, Feri et al. | IEEE | 2022


    Quadcopter Unmanned Aerial Vehicle (UAV) Design for Search and Rescue (SAR)

    Immanuel Damanik, Joy Andrew / Dermawan Sitanggang, Imanuel Maurice / Hutabarat, Fajar Sam et al. | IEEE | 2022


    Autonomous battery swapping system for quadcopter

    Lee, Danny / Zhou, Joe / Lin, Wong Tze | IEEE | 2015


    Autonomous Quadcopter for Building Construction Monitoring

    V, Hariprasad / V, Karthick Sreenivasan / V, Sathish et al. | SAE Technical Papers | 2020


    Autonomous quadcopter piloting controller and debugger

    RESTIFO JORDAN / SKARICA VEDRAN | European Patent Office | 2022

    Free access