- CSCD核心中文核心科技核心
- RCCSE(A+)公路运输高质量期刊T1
- Ei CompendexScopusWJCI
- EBSCOPж(AJ)JST
收稿日期: 2018-10-24
修回日期: 2018-12-18
网络出版日期: 2019-01-30
基金资助
山东省交通科技计划项目(2016B20)
Tunnel 3D Reconstruction Technology and Application ResearchBased on kinect Sensor
Received date: 2018-10-24
Revised date: 2018-12-18
Online published: 2019-01-30
为解决传统地质素描技术在隧道中施作效率低、数据不连续且原始数据难以再现的问题,采用基于kinect传感器和kintinuous算法的隧道岩体三维重建方法,基于物理模型试验,确定三维重建过程中光源、TSDF立方体等主要参数指标,将模型试验重建误差控制在1.9%~2.5%,并将该参数指标应用于现场试验,重建出良好的隧道三维模型。结果表明,该方法在重建模型的全局鲁棒性和细节还原方面较好,具有可视化程度高、数据连续性强、操作简易等优点,有效改善了传统地质素描对裂缝、结构面等数据记录不够准确和不完善的问题。
关键词: 隧道地质三维建模; kinect传感器; 地质素描; kintinuous算法; 物理模型试验
徐辉 , 周磊生 , 刘银凤 , 朱世超 , 冉令强 . 基于kinect的隧道三维重建技术及其应用研究[J]. 隧道建设, 2018 , 38(S2) : 202 -208 . DOI: 10.3973/j.issn.2096-4498.2018.S2.027
Aiming at the issues of low efficiency, discontinuity and difficulty of reproducing the original data of geological sketch in tunnel construction, the idea of threedimensional(3D) reconstruction of tunnel excavated rock mass combined kinect sensor with kintinuous algorithm is proposed. The method solves the storage format and integrityproblem of original data in the geological sketching process and improves the working efficiency of identifying geological attributes. Through the physical model tests, the parameters of the 3D reconstruction process of the tunnel are determined. The field test results shows that the method is better in the global robustness and detail reduction of the reconstruction model, and the error is controlledwithin 1.9%~2.5%. In short, the method has advantages of high visibility, strong continuity of data and simple operation, which can provide an efficient and accurate method for geological sketching of tunnel engineering, withwide range ofpromotional application value.
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