计算机科学
应急管理
控制(管理)
人工智能
法学
政治学
作者
Amina Khan,Sumeet Gupta,Sachin Kumar Gupta
标识
DOI:10.1109/iccit52419.2022.9711627
摘要
In the aftermath of natural disasters, the Disaster Management Team (DMT) plays a crucial role in catastrophe recovery and can dramatically mitigate damage and destruction. Aerial tracking and monitoring will be a grateful enabler for rapid response to catastrophe. Initial risk evaluation may be done by aerial surveillance, which helps prioritize DMTs to different locations depending on the number of individuals who have sustained an injury or the degree of infrastructure loss. Thus, shortly following a catastrophe, a total disaster map leads to an exact estimate of the costs, financial expenses, and loss that will increase the performance of a disaster recovery operation incredibly. In this case, it can be a practical approach to incorporate a multi-agent scheme composed of multiple cooperative UAVs. On the other hand, a very adverse atmosphere is one of the most common causes of UAV loss and maybe so destructive in disasters related to the climate. This article aims to survey cooperative control and the formation of multi-agent and multi-agent UAVs' applications. It proposes a Fault-Tolerant Maximum Coverage (FTMC) framework for a heterogeneous Multi-Agent System (MAS) to support the DMT Moreover, it provides solutions and gives future directions for disaster management.
科研通智能强力驱动
Strongly Powered by AbleSci AI