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Open Access ·Peer-reviewed·ISSN (Online): 2169-0014·ISSN (Print): 0972-0510
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The Journal of Statistics and Management Systems (JSMS) is a world leading journal publishing high quality, rigorously peer-reviewed original research on theoretical and applied statistics and management systems since 1998. The scope is intentionally broad, but papers must make a novel contribution to the field to be considered for publication. Topics include, but are not limited to, the following: • Statistics • Applied Statistics • Industrial Statistics • Statistical Inference • Interdisciplinary role of Statistics • Actuarial Sciences • Decision Sciences • Managerial Aspects • Management Sciences • Management Information Systems

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Open Access Research Article

Optimized 2D ground area coverage through unmanned aerial vehicle using metaheuristic approach

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pp. 249–259Vol. 26Issue 1December 2022DOI: 10.47974/JSMS-1025XML
Published Online:
31 Dec 2022
Article type:
Research Article
Language:
EN
Article no.:
JSMS-1025
Pages:
249–259

Abstract

2D ground area coverage is essential for various applications like rescue operation, ground target detection, agricultural inspection, etc. In order to implement successfully the above-mentioned applications, researchers have used Unmanned Aerial Vehicles (UAVs) for the ground area coverage. UAVs equipped with visual sensors are extensively used in various coverage applications. The performance of the coverage applications is dependent on maximum target area inspection which leads to an optimization problem. For any optimization problem, researchers have used various metaheuristic approaches. For the proposed work, authors have considered the maximization of a 2D target area coverage using a single UAV system through the optimization approaches as Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Cuckoo Optimization Algorithm (COA). The performance of the proposed work is evaluated in terms of the percentages of actual area coverage and exterior area coverage.

Keywords

Subject Classifications

68M18

References

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