船舶 ›› 2025, Vol. 36 ›› Issue (06): 53-62.DOI: 10.19423/j.cnki.31-1561/u.2024.192

• 总体与结构 • 上一篇    下一篇

基于RGB-D相机的船体结构实时定位技术研究

陈浩振1, 李长龙2, 李强2, 史少宇2   

  1. 1.大连理工大学 船舶工程学院 大连 116023;
    2.海洋石油工程股份有限公司 天津 300461
  • 收稿日期:2024-10-30 修回日期:2024-12-25 出版日期:2025-12-25 发布日期:2026-01-05
  • 作者简介:陈浩振(1998-),男,硕士。研究方向:船舶与海洋结构物设计及数字化技术。李长龙(1983-),男,本科,高级工程师。研究方向:海洋工程装备智能制造,精益管理。李 强(1983-),男,硕士,高级工程师。研究方向:海洋工程结构设计。史少宇(1995-),男,硕士,工程师。研究方向:海洋工程结构设计。
  • 基金资助:
    国家部委重点项目(工信部装函[2019]360号); 中国海洋石油集团公司十四五重大科技项目(KJGG-2022-1602)

Research on Real-Time Hull Structure Positioning Technology Based on RGB-D Camera

CHEN Haozhen1, LI Changlong2, LI Qiang2, SHI Shaoyu2   

  1. 1. College of Marine Engineering, Dalian University of Technology, Dalian 116023, China;
    2. Offshore Oil Engineering Co., Ltd., Tianjin 300461, China
  • Received:2024-10-30 Revised:2024-12-25 Online:2025-12-25 Published:2026-01-05

摘要: 基于数字化技术的船体结构建造、维护保养及结构数字孪生等领域中,需要可靠的定位方法以实现船舶数字模型与真实结构坐标系实时对准,确定采集点在船体模型坐标系下的位置。该文利用轻量级RGB-D相机采集船体结构图像数据,以视觉特征提取算法获取船体结构特征,并提出基于特征数据的图像数据与三维模型数据坐标实时对准方法,实现图像坐标系与模型坐标系的快速准确对准。该方法首先提取结构的先验三维模型中的直线特征,利用直线特征定义模型坐标系;然后通过景深相机采集的深度图像和彩色图像,生成三维重建空间的直线特征;最后基于直线配准算法实现三维模型与重建模型的融合,实现RGB-D相机采集点在结构三维模型坐标系中的实时定位。

关键词: RGB-D相机, 船体结构, 视觉特征, 实时定位

Abstract: In the fields of hull structure construction, maintenance, and digital twinning based on digital technology, a reliable positioning method is required to achieve real-time alignment between a ship's digital model and the coordinate system of the physical structure, thereby determining the position of data acquisition points within the hull model's coordinate system. This paper utilizes a lightweight RGB-D camera to acquire image data of the hull structure. Visual feature extraction algorithms are employed to obtain structural features. A method for real-time coordinate alignment between the image data and the 3D model data based on the feature data is proposed, enabling fast and accurate alignment of the image and model coordinate systems. The method first extracts linear features from a prior 3D model of the structure to define the model coordinate system. It then generates corresponding linear features in the 3D reconstruction space from the depth and color images captured by the RGB-D camera. Finally, based on a linear registration algorithm, the fusion of the prior 3D model and the reconstructed model is achieved, enabling the real-time calculation of the positions of the RGB-D camera’s acquisition points within the coordinate system of the structural 3D model.

Key words: RGB-D camera, hull structure, visual features, real-time positioning

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