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Three-Dimensional Visual Mapping of Underwater Ship Hull Surface using View-based Piecewise-Planar Measurements

机译:基于基于视图的分段平面测量的水下船船体表面的三维视觉映射

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Visual inspection of underwater ship hulls using unmanned underwater vehicles needs to be conducted at very close range to the target surface because of the limited visibility conditions in underwater environments due to light attenuation, scattering, and turbidity. These environmental challenges result in ineffective photometric and geometric information in hull surface images, and thus, the performance of conventional 3D reconstruction techniques is often not satisfactory. This paper presents a visual mapping method for 3D reconstruction of underwater ship hull surface using a monocular camera as a primary mapping sensor. The main idea of the proposed approach is to model the moderately curved hull surface as a combination of piecewise-planar panels, and to generate a global map by aligning the images in a 2D reference frame and correcting them appropriately to reflect the information of perspective projections of the 3D panels. Experimental results are shown to demonstrate the feasibility of the proposed method using a dataset obtained in a field experiment with a full-scale ship in a real sea environment.
机译:使用无人水下车辆的水下船壳的目视检查需要在非常近的范围内对目标表面进行,因为水下环境引起的水下环境有限,散射和浑浊。这些环境挑战导致船体表面图像中的光度测量和几何信息中的无效和几何信息,因此,传统的3D重建技术的性能通常不令人满意。本文介绍了一种使用单眼相机作为主映射传感器的水下船船体表面的视觉映射方法。所提出的方法的主要思想是将中等弯曲的船体表面模拟作为分段平面面板的组合,并通过将图像与2D参考帧中的图像对准并适当地校正以反映透视投影的信息来模拟全局地图3d面板。示出了实验结果表明所提出的方法使用在现场实验中获得的数据集在真正的海洋环境中具有全尺寸船舶的实验中获得的数据集。

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