Abstract
Modelling and simulating mine countermeasures (MCM) search missions performed by autonomous vehicles equipped with a sensor capable of detecting mines at sea is a challenging endeavour. In this work, we present a novel way to model and account for sand ripples present on the bottom of the ocean while calculating trajectories for the autonomous vehicles by means of a stochastic optimal control framework. It is known from the scientific literature that these ripples impact the sea mine detection capabilities of the autonomous vehicles.
| Originalsprache | Englisch |
|---|---|
| Fachzeitschrift | World Congress in Computational Mechanics and ECCOMAS Congress |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 2024 |
| Veranstaltung | 9th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2024 - Lisbon, Portugal Dauer: 3 Juni 2024 → 7 Juni 2024 |
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