In this proposed work, UAV Thermal Imagery technology, which was employed by earlier researchers, to detect the Real-Time Victims, was taken. Due to their great durability, low cost, ease of implementation, and versatility, unmanned aerial vehicles (UAVs) have experienced a considerable surge in use. UAVs can swiftly search the impacted region during a natural catastrophe like earthquakes, floods, etc. to help more survival. One of the main factors to develop a rescue system is Dataset. In the various research papers studied the respective researchers used different algorithms or methods to develop a dataset. Researchers used methods like Reinforcement Learning, Deep Learning, YOLO Algorithms, etc. A comparative analysis of the various techniques was made. Also, the description of the Knowledge distillation process, which was discovered by earlier researchers, is mentioned here. Observation realises that Deep Learning methods are better to design a UAV.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Real-Time Survivor Detection in UAV Thermal Imagery Based on Deep Learning


    Contributors:


    Publication date :

    2023-10-06


    Size :

    1847822 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Real-Time Survivor Detection System in SaR Missions Using Robots

    Kaushlendra Sharma / Rajesh Doriya / Saroj Kumar Pandey et al. | DOAJ | 2022

    Free access

    Deep Learning based Vehicle Detection in Aerial Imagery

    Sommer, Lars Wilko | TIBKAT | 2021

    Free access

    Deep Learning based Vehicle Detection in Aerial Imagery

    Wilko Sommer, Lars | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2022

    Free access

    Deep learning based vehicle detection in aerial imagery

    Sommer, Lars Wilko | TIBKAT | 2021

    Free access

    Deep Learning based Vehicle Detection in Aerial Imagery

    Wilko Sommer, Lars | TIBKAT | 2022

    Free access