Autonomous aerial robots, often referred to as drones, have demonstrated immense potential in enhancing the effectiveness and safety of search and rescue (SAR) operations. This paper presents a comprehensive study of the latest advancements in drone technology tailored for SAR missions. It examines the integration of sophisticated algorithms that empower drones with autonomous navigation, object recognition, and decision-making capabilities in complex and unstructured environments. The paper explores the deployment strategies of swarm intelligence for coordinated multi-drone operations, maximizing area coverage, and minimizing search time. Attention is given to the development of robust communication systems that enable drones to operate in GPS-denied areas and ensure reliable data transmission during critical missions. The research further delves into the endurance and adaptability of drones under varied climatic conditions, ensuring sustained operation during extended missions. A pivotal focus is placed on the ethical implications and safety protocols essential for the operation of autonomous aerial robots in SAR scenarios. Through simulation and field trials, the paper evaluates the operational readiness and efficacy of these systems. The findings suggest that incorporating autonomous aerial robots significantly increases the efficiency of SAR missions, providing a safer alternative to human-led operations while reducing operational costs and response times.


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    Titel :

    Autonomous Aerial Robots for Search and Rescue Missions


    Beteiligte:
    Sangeeta, K (Autor:in) / B, Swathi (Autor:in) / Jain, Alok (Autor:in) / Bhutani, Vijay (Autor:in) / Tyagi, Lalit Kumar (Autor:in) / Jabbar, Kadhim A. (Autor:in)


    Erscheinungsdatum :

    2023-12-01


    Format / Umfang :

    623727 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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