PDSR: Efficient UAV Deployment for Swift and Accurate Post-Disaster Search and Rescue
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arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866909372328706048 |
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| author | Abdellatif, Alaa Awad Elmancy, Ali Mohamed, Amr Massoud, Ahmed Lebda, Wadha Naji, Khalid K. |
| author_facet | Abdellatif, Alaa Awad Elmancy, Ali Mohamed, Amr Massoud, Ahmed Lebda, Wadha Naji, Khalid K. |
| contents | This paper introduces a comprehensive framework for Post-Disaster Search and Rescue (PDSR), aiming to optimize search and rescue operations leveraging Unmanned Aerial Vehicles (UAVs). The primary goal is to improve the precision and availability of sensing capabilities, particularly in various catastrophic scenarios. Central to this concept is the rapid deployment of UAV swarms equipped with diverse sensing, communication, and intelligence capabilities, functioning as an integrated system that incorporates multiple technologies and approaches for efficient detection of individuals buried beneath rubble or debris following a disaster. Within this framework, we propose architectural solution and address associated challenges to ensure optimal performance in real-world disaster scenarios. The proposed framework aims to achieve complete coverage of damaged areas significantly faster than traditional methods using a multi-tier swarm architecture. Furthermore, integrating multi-modal sensing data with machine learning for data fusion could enhance detection accuracy, ensuring precise identification of survivors. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_22982 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | PDSR: Efficient UAV Deployment for Swift and Accurate Post-Disaster Search and Rescue Abdellatif, Alaa Awad Elmancy, Ali Mohamed, Amr Massoud, Ahmed Lebda, Wadha Naji, Khalid K. Robotics Artificial Intelligence Systems and Control This paper introduces a comprehensive framework for Post-Disaster Search and Rescue (PDSR), aiming to optimize search and rescue operations leveraging Unmanned Aerial Vehicles (UAVs). The primary goal is to improve the precision and availability of sensing capabilities, particularly in various catastrophic scenarios. Central to this concept is the rapid deployment of UAV swarms equipped with diverse sensing, communication, and intelligence capabilities, functioning as an integrated system that incorporates multiple technologies and approaches for efficient detection of individuals buried beneath rubble or debris following a disaster. Within this framework, we propose architectural solution and address associated challenges to ensure optimal performance in real-world disaster scenarios. The proposed framework aims to achieve complete coverage of damaged areas significantly faster than traditional methods using a multi-tier swarm architecture. Furthermore, integrating multi-modal sensing data with machine learning for data fusion could enhance detection accuracy, ensuring precise identification of survivors. |
| title | PDSR: Efficient UAV Deployment for Swift and Accurate Post-Disaster Search and Rescue |
| topic | Robotics Artificial Intelligence Systems and Control |
| url | https://arxiv.org/abs/2410.22982 |