Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021)

Natural Disaster Mapping in Real-Time Using Unmanned Aerial Vehicles (Drone)

Authors
Seelam Ch Vijaya Bhaskar, S Anitha
Corresponding Author
Seelam Ch Vijaya Bhaskar
Available Online 13 September 2021.
DOI
https://doi.org/10.2991/ahis.k.210913.052How to use a DOI?
Keywords
Rescue Robot, Geographic Information Systems, Unmanned Aerial Vehicle
Abstract

An unmanned aerial vehicle is used in this paper to demonstrate a disaster response scheme (UAV). Once the natural disasters like flooding or major quakes occur, rapid injury evaluation and continuous data collection are critical to develop a response plan for damage mitigation on behalf of disaster. This approach builds an onboard applications and prototype UAV with the use of navigation system termed GPS/IRNSS as a part of this research.

Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021)
Series
Atlantis Highlights in Computer Sciences
Publication Date
13 September 2021
ISBN
978-94-6239-428-5
ISSN
2589-4900
DOI
https://doi.org/10.2991/ahis.k.210913.052How to use a DOI?
Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Seelam Ch Vijaya Bhaskar
AU  - S Anitha
PY  - 2021
DA  - 2021/09/13
TI  - Natural Disaster Mapping in Real-Time Using Unmanned Aerial Vehicles (Drone)
BT  - Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021)
PB  - Atlantis Press
SP  - 421
EP  - 426
SN  - 2589-4900
UR  - https://doi.org/10.2991/ahis.k.210913.052
DO  - https://doi.org/10.2991/ahis.k.210913.052
ID  - Bhaskar2021
ER  -