Abstract
This paper describes an algorithm for constructing a procedural sea bottom model, which can be used for testing and debugging machine vision systems of autonomous underwater vehicles (AUVs). The algorithm consists of three main stages: generating a low-frequency heightmap (used by the designer to define the basic form of a water area), constructing a three-dimensional model (based on the heightmap and fractal noise), and visualizing the three-dimensional model (refined by means of hardware or manual tessellation). The sea bottom model has the following features: it is detailed accurate to a screen pixel, each of its sections is absolutely unique, and its size is adequate for any tests.
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Original Russian Text © A.N. Kamaev, V.A. Sukhenko, D.A. Karmanov, 2017, published in Programmirovanie, 2017, Vol. 43, No. 3.
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Kamaev, A.N., Sukhenko, V.A. & Karmanov, D.A. Constructing and visualizing three-dimensional sea bottom models to test AUV machine vision systems. Program Comput Soft 43, 184–195 (2017). https://doi.org/10.1134/S0361768817030070
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DOI: https://doi.org/10.1134/S0361768817030070