Designing a search-algorithm that uses an autonomously moving swarm of drones to eciently detect drifting steel shipping containers, using Magnetic Anomaly Detection and Simulated Annealing

Bachelor thesis (2020)

Authors

T.P.N.M. Vertregt Electrical Engineering, Mathematics and Computer Science

Contributors

A.R.P.J. Vijn Mathematical Physics - EEMCS (mentor)
E.S.A.M. Lepelaars Mathematical Physics - EEMCS (mentor)
A.W. Heemink Mathematical Physics - EEMCS (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2020 Tom Vertregt
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Published Date

23-06-2020

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

This thesis explores different methodes to optimally guide a swarm of drones towards a steel shipping container. It does this using techniques such as Simulated Annealing and Magnetic Anomaly Detection. The drones will use Simulated Annealing in combination with Magnetic Anomaly Detection to estimate where the steel shipping container is located. To optimally share information between the different drones in the swarm four methods are proposed and analysed.