Rajan, J and Shriwastav, S and Kashyap, A and Ratnoo, A and Ghose, D (2021) Disaster management using unmanned aerial vehicles. [Book Chapter]
Full text not available from this repository. (Request a copy)Abstract
Effective disaster management is one of the most important challenges faced on the global scale. The inaccessibility of large parts of terrain despite the urgent need of support immediately following a disaster poses one of the major hindrances during the management process. Over the years, unmanned aerial vehicles (UAVs) are increasingly being used to provide aid in many disaster management operations and help increase the effectiveness of a disaster response. This chapter highlights the various uses of UAVs in disaster management applications. This has been done by grouping the existing and possible applications of UAVs based on the various roles played by them during disaster preparedness and management, namely, coverage and information gathering, resource dispatch and survivor rescue, and communication. The chapter also provides insight into the various coverage algorithms, sensing systems, and communication architectures which UAVs can potentially use in disaster management. In addition to these, the core hardware requirements of the UAVs are discussed as well as the challenges that need to be overcome in order to improve their role in disaster management operations. © 2021 Elsevier Inc. All rights reserved.
| Item Type: | Book Chapter |
|---|---|
| Publication: | Unmanned Aerial Systems: Theoretical Foundation and Applications: A Volume in Advances in Nonlinear Dynamics and Chaos (ANDC) |
| Publisher: | Elsevier |
| Additional Information: | The copyright for this article belongs to Elsevier. |
| Keywords: | Autonomous systems; Disaster management; Unmanned aerial vehicles (UAVs) |
| Department/Centre: | Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering) |
| Date Deposited: | 08 Mar 2023 13:10 |
| Last Modified: | 08 Mar 2023 13:10 |
| URI: | https://eprints.iisc.ac.in/id/eprint/80878 |
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