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
Tom Vertregt (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Aad Vijn – Mentor (TU Delft - Mathematical Physics)
Eugène Lepelaars – Mentor (TU Delft - Mathematical Physics)
Arnold Heemink – Graduation committee member (TU Delft - Mathematical Physics)
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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.