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    Comprehensive review of drones collision avoidance schemes: challenges and open issues by Rezaee, Mohammad Reza, Abdul Hamid, Nor Asilah Wati, Hussin, Masnida, Ahmad Zukarnain, Zuriati

    Published 2024
    “…This concern extends to a spectrum of challenges, encompassing collisions with stationary and mobile obstacles and encounters with other drones. Moreover, the inherent limitations of drones, namely constraints on energy consumption, data storage capacity, and processing power, present formidable obstacles in developing collision avoidance algorithms. …”
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    Article
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    Unmanned aerial vehicle power estimation with non-polarity charging system by Hadi, Al Obaidi Mohammed Rmaez

    Published 2019
    “…However, the unmonitored battery discharge is the major problem for UAVs to travel long distances, at least half of the energy in the battery must be saved to travel back to the launch site for recharging to address this issue, this work proposes an algorithm to analyze the energy data that collected through the proposed monitoring system to achieve modelling the power consumption patterns of particular drone trajectories with a specified environmental condition, which is solved by applying a robust approach called Bode Equation Vector Fitting (BEVF) algorithm and derive a measurement-based model for endurance estimation of such drone type. the results of the experimentation for a designing methodology that employed has successfully adjusted the polarity of the input power and improve the efficiency of the charging to 86%. …”
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    Thesis
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    Human Distance Estimation Using Quadcopter For Surveillance Purpose by Shukor, Ahmad Zaki, Khaw, Huai Jian, Ali @ Ibrahim, Fariz, Mohd Aras, Mohd Shahrieel, Jamaluddin, Muhammad Herman

    Published 2019
    “…The quadcopter is designed to be small in size and have a mini computer like Raspberry Pi on top of it to compute the algorithm to calculate the distance of the human by using image processing technique through the camera which is setup on the drone. …”
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  5. 5

    Small target detection of Unmanned Aerial Vehicles based on GDWNet in the digital economy by Zhang, Yan, Zhang, Jing, Mustaffa, Mas Rina

    Published 2025
    “…When applied to the UAV aerial imagery VisDrone dataset, the proposed model achieved a mean Average Precision (mAP) of 35.8%, representing a 3.1% improvement over the conventional YOLOv8s algorithm.…”
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