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Development of underwater terrain's depth map representation method based on occupancy grids with 3D point cloud from polar sonar sensor system

机译:基于占用网格的水下地形的深度地图表示方法与北极云覆盖率从极岩岩传感器系统的开发

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This paper proposes the depth map representation method based on the occupancy grids by using 3D point cloud from the polar sonar sensor system. Because it is expensive to use current 3D sonar sensors, the low-cost 3D sensor systems are needed for the generalized purposes. So the polar-styled sonar sensor system was developed. It was constructed on the rotating motor with the 2D multi-beam sonar image sensor. And we developed the depth map model based on an occupancy probability grids map using the Bayesian-updating model. This way could reduce the noise caused by fundamental characteristics of a sonar sensor. The experiment was conducted to verify the validity and the usefulness of the proposed approach.
机译:本文通过使用来自极性声纳传感器系统的3D点云,提出了基于占用网格的深度图表示方法。由于使用电流3D声纳传感器是昂贵的,所以需要低成本的3D传感器系统以获得广义目的。因此,开发了极性风格的声纳传感器系统。它在具有2D多光束声纳图像传感器的旋转电动机上构造。并且我们根据使用贝叶斯型型号的占用概率网格映射开发了深度图模型。这种方式可以减少由声纳传感器的基本特征引起的噪声。进行实验以验证所提出的方法的有效性和有用性。

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