| 高速道岔尖轨点云的复合拼接及数据处理优化 |
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| 引用本文： | 王培俊,吕东旭,陈鹏.高速道岔尖轨点云的复合拼接及数据处理优化[J].西南交通大学学报,2018,53(4):806-812, 849. |
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| 作者姓名： | 王培俊 吕东旭 陈鹏 |
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| 作者单位： | 西南交通大学机械工程学院 |
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| 基金项目： | 国家自然科学基金资助项目51305368 |
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| 摘 要： | 为实现高速铁路尖轨磨耗的高效检测，结合高速尖轨的检测需求及其几何特征，提出了基于距离编码器的复合拼接方法.该方法将距离信息融合到点云拼接中，提高了检测系统的自动化程度.在计算点特征直方图（point feature histograms，PFH）的过程中，引入OpenCL（open computing language）异构加速模型调整点云的数据结构，发挥GPU的并行处理优势获得了更快的数据处理速度.利用实际尖轨开展磨耗检测实验，证明了针对高速尖轨的结构光检测系统有效可行.经过点云拼接和点云扫描数据处理的优化，系统的整体检测效率获得了70%左右的提升.
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| 关 键 词： | 磨耗 三维点云 拼接 检测 OpenCL |
| 收稿时间： | 2017-05-11 |
Complex Point Cloud Registration and Optimized Data Processing for High-Speed Railway Turnout |
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| WANG Peijun,Lü Dongxu,CHEN Peng.Complex Point Cloud Registration and Optimized Data Processing for High-Speed Railway Turnout[J].Journal of Southwest Jiaotong University,2018,53(4):806-812, 849. |
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| Authors: | WANG Peijun Lü Dongxu CHEN Peng |
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| Abstract: | To enhance the inspection efficiency of high-speed switch rail wear, a complex registration based on a distance encoder is proposed, considering the inspection standards and the geometric characteristics of high-speed switch rail. The distance information was combined with the point cloud registration to improve automatic inspection. Additionally, the OpenCL (open computing language) heterogeneous acceleration model was introduced to achieve parallel data processing with higher speed during computation of the point feature histograms (PFH). In the on-site inspection of high-speed switch rail wear, the system function was verified on the structured light inspection platform, and the total inspection performance was increased by up to 70% by the optimized point cloud registration and data processing methods. |
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