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Seabed Terrain 3D Reconstruction Using 2D Forward-Looking Sonar: A Sea-Trial Report From The Pipeline Burying Project ?

机译:使用2D前视声纳的海底地形3D重建:管道埋藏项目的海试报告

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摘要

In this short paper, we report some preliminary results on the seabed terrain reconstruction using the two-dimensional (2D) forward-looking sonar. In the underwater pipeline burying project, when the burying machine excavating the trench using the jetting device, the stirred turbid water sharply shorten the visual distance of optical camera. Researchers fromShenyang Institute of Automation, Chinese Academy of Sciences (SIA, CAS)andKorea Institute of Robot and Convergence (KIRO)work together to reconstruct the 3D environment using the acoustic camera. The proposed reconstruction procedure mainly includes two parts: 3D point-cloud extraction for each sonar frame and point-cloud registration. With the former step, the elevation information, which is irreversely lost in the acoustic imaging process, is recovered by the shape-from-shading technology under the Lambert surface assumption. With the latter, a registration method based on symmetrical Kullback-Leibler divergence has been proposed to stitch the point clouds from each sonar image into a panoramic terrain map. The initial experiment results with the sea-trial datasets demonstrate that the proposed method is feasible for the practical underwater engineering.
机译:在这篇简短的论文中,我们报告了使用二维(2D)前视声纳重建海床地形的一些初步结果。在水下管道掩埋工程中,当掩埋机使用喷射装置开挖沟渠时,搅拌的浑浊水会大大缩短光学摄像机的可视距离。来自中国科学院沉阳自动化研究所(SIA,CAS)和韩国机器人与融合研究所(KIRO)的研究人员共同努力,使用声学相机重建3D环境。提出的重建程序主要包括两个部分:每个声纳帧的3D点云提取和点云配准。在前面的步骤中,在兰伯特曲面假设下,通过遮影形状技术恢复了在声学成像过程中不可逆地丢失的高程信息。对于后者,已经提出了一种基于对称Kullback-Leibler发散的配准方法,将来自每个声纳图像的点云拼接成全景地形图。海试数据集的初步实验结果表明,该方法对实际的水下工程是可行的。

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