Optimal path planning using psychological profiling in drone‐assisted missing person search
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Published:2023-09-22
Issue:4
Volume:5
Page:
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ISSN:2578-0727
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Container-title:Advanced Control for Applications
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language:en
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Short-container-title:Adv Control Appl
Author:
Ewers Jan‐Hendrik1ORCID,
Anderson David1ORCID,
Thomson Douglas1ORCID
Affiliation:
1. Aerospace Sciences Research Division University of Glasgow Glasgow Scotland
Abstract
AbstractSearch and rescue operations are all time‐sensitive and this is especially true when searching for a vulnerable missing person, such as a child or elderly person suffering dementia. Recently, Police Scotland Air Support Unit has begun the deployment of drones to assist in missing person searches with success, although the efficacy of the search relies upon the expertise of the drone operator. In this paper, several algorithms for planning the search path are compared to determine which approach has the highest probability of finding the missing person in the shortest time. In addition to this, the use of á priori psychological profile information of the subject to create a probability map of likely locations within the search area was explored. This map is then used within a nonlinear optimization to determine the optimal flight path for a given search area and subject profile. Two optimization solvers were compared; genetic algorithms, and particle swarm optimization. Finally, the most effective algorithm was used to create a coverage path for a real‐life location, for which Police Scotland Air Support Unit completed multiple test flights. The generated flight paths based on the predicted intent of the lost person were found to perform statistically better than those of the expert police operators.
Funder
Engineering and Physical Sciences Research Council
Subject
Modeling and Simulation,Control and Systems Engineering,Energy (miscellaneous),Signal Processing,Computer Science Applications,Computer Networks and Communications,Artificial Intelligence
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