Modelling sand ripples in mine countermeasure simulations by means of stochastic optimal control
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Acceso en línea: | |
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| _version_ | 1866913485553664000 |
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| author | Blondeel, Philippe Van Utterbeeck, Filip Lauwens, Ben |
| author_facet | Blondeel, Philippe Van Utterbeeck, Filip Lauwens, Ben |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_16624 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Modelling sand ripples in mine countermeasure simulations by means of stochastic optimal control Blondeel, Philippe Van Utterbeeck, Filip Lauwens, Ben Numerical Analysis Optimization and Control 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. |
| title | Modelling sand ripples in mine countermeasure simulations by means of stochastic optimal control |
| topic | Numerical Analysis Optimization and Control |
| url | https://arxiv.org/abs/2408.16624 |