A proposed semi-autonomous search and rescue system identifies and tracks a person using a piloted unmanned aerial vehicle with a downward-facing vision system. This vehicle communicates the person’s location to an autonomous unmanned ground vehicle to recover the target. An object detection neural network and image processing system can detect humans from an aerial perspective using RGB and thermal images. A Python simulation of the ground vehicle demonstrates that the heading and velocity controllers are robust to noise and disturbances.


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    Title :

    Semi-Autonomous Search and Rescue System


    Contributors:


    Publication date :

    2023-06-06


    Size :

    1651278 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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