UAV based survivor search during floods

Ravichandran, R and Ghose, D and Das, K (2019) UAV based survivor search during floods. In: 2019 International Conference on Unmanned Aircraft Systems, ICUAS 2019, 11 June 2019 - 14 June 2019, Atlanta, pp. 1407-1415.

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Abstract

This paper addresses the problem of searching for survivors in flood affected regions. These search missions are carried out by UAVs (Unmanned Aerial Vehicles) in order to search faster and cover larger distances. The proposed search algorithm receives information regarding survivor location from the ground based observers. The observers report the location of survivors when the survivor is within its field of view. In such a situation when the location information about the survivor is received by the UAV, the survivor might have moved to a different location when the UAV tries to go to the last spotted location to search. Hence, it is necessary to have a prediction algorithm to estimate the future position of the survivor. The algorithms implemented in this paper is a weightage based approach and a truncated weight based approach to predict the future location of the survivor. The performance of these algorithms are compared with a tradition lawnmower search pattern. These algorithms are implemented by taking a real life flood scenario and the effectiveness and efficiency of the implemented algorithm is shown by an extensive Monte Carlo simulation.

Item Type:	Conference Paper
Publication:	2019 International Conference on Unmanned Aircraft Systems, ICUAS 2019
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Antennas; Floods; Intelligent systems; Location; Monte Carlo methods, Effectiveness and efficiencies; Ground based; Location information; Prediction algorithms; Search Algorithms; Search missions; Search patterns; Survior search, Unmanned aerial vehicles (UAV)
Department/Centre:	Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited:	29 Dec 2022 10:52
Last Modified:	29 Dec 2022 10:52
URI:	https://eprints.iisc.ac.in/id/eprint/78536

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