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.

翻译：本文提出了一种全面的灾后搜救框架，旨在利用无人机优化搜救行动。其主要目标是提升感知能力的精确性与可用性，尤其是在各种灾难场景中。该理念的核心在于快速部署配备多样化感知、通信与智能能力的无人机集群，使其作为一个集成系统运行，融合多种技术和方法，以高效探测灾后被掩埋在瓦砾或废墟下的个体。在此框架内，我们提出了架构解决方案并应对相关挑战，以确保在真实灾难场景中实现最优性能。所提出的框架旨在通过多层集群架构，显著快于传统方法实现受损区域的完全覆盖。此外，将多模态感知数据与机器学习相结合进行数据融合，可提升探测精度，确保对幸存者的精准识别。