Registration of Long-Strip Terrestrial Laser Scanning Point Clouds Using RANSAC and Closed Constraint Adjustment

The registration of long-strip, terrestrial laser scanning (TLS) point clouds is a prerequisite for various engineering tasks, including tunnels, bridges, and roads. An artificial target-based registration method is proposed in this paper to automatically calculate registration parameters (i.e., rotation, translation) of scanned pairs without initial estimations. The approach is based on the well-known Random Sample Consensus (RANSAC) method and effectively searches the point cloud for corresponding returns from a system of artificial targets. In addition, Closed Constraint Adjustment (CCA) is integrated into the registration method to significantly reduce the accumulative error. Experimental results demonstrate the robustness and feasibility of the proposed approach. It is a promising approach to register automatically long strips with limited external control points with satisfactory precision.

[1]  Hangbin Wu,et al.  Detection of high-speed railway subsidence and geometry irregularity using terrestrial laser scanning , 2014 .

[2]  P. Agouris,et al.  Map Registration of Image Sequences Using Linear Features , 2008 .

[3]  A. Cohen,et al.  Air Pollution in the Mega-cities , 2014, Current Environmental Health Reports.

[4]  Ivan Detchev,et al.  Analysis of Two Triangle-Based Multi-Surface Registration Algorithms of Irregular Point Clouds , 2012 .

[5]  Andrea Marchetti,et al.  Optimal RANSAC-Towards a Repeatable Algorithm for Finding the Optimal Set , 2013, J. WSCG.

[6]  Yuri Boykov,et al.  Energy-Based Geometric Multi-model Fitting , 2012, International Journal of Computer Vision.

[7]  Gérard G. Medioni,et al.  Object modeling by registration of multiple range images , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[8]  Yang Dam Eo,et al.  Coregistration of terrestrial lidar points by adaptive scale-invariant feature transformation with constrained geometry , 2012 .

[9]  K. Moffett,et al.  Remote Sens , 2015 .

[10]  Derek D. Lichti,et al.  A method for automated registration of unorganised point clouds , 2008 .

[11]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  Haiyan Guan,et al.  Accurate and robust registration of high-speed railway viaduct point clouds using closing conditions and external geometric constraints , 2015 .

[13]  Vassilis Gikas,et al.  Three-Dimensional Laser Scanning for Geometry Documentation and Construction Management of Highway Tunnels during Excavation , 2012, Sensors.

[14]  Gérard G. Medioni,et al.  Object modelling by registration of multiple range images , 1992, Image Vis. Comput..

[15]  Claus Brenner,et al.  Coarse orientation of terrestrial laser scans in urban environments , 2008 .

[16]  Sibel Canaz,et al.  Planar and Linear Feature-Based Registration of Terrestrial Laser Scans with Minimum Overlap Using Photogrammetric Data , 2012 .

[17]  Yue Jianping.  Geometric Feature Constraint Based Algorithm for Building Scanning Point Cloud Registration , 2008 .

[18]  A. Habib,et al.  Photogrammetric and Lidar Data Registration Using Linear Features , 2005 .

[19]  Xie Rui.  Research on Point Cloud Registration Error Propagation , 2009 .

[20]  Wu Jianwei,et al.  Registration of LiDAR Point Clouds and High Resolution Images Based on Linear Features , 2012 .

[21]  K. Bang,et al.  A COMPARATIVE ANALYSIS OF TWO APPROACHES FOR MULTIPLE-SURFACE REGISTRATION OF IRREGULAR POINT CLOUDS , 2010 .

[22]  Dong Zhang,et al.  Registration method for terrestrial LiDAR point clouds using geometric features , 2012 .

[23]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[24]  George Vosselman,et al.  An integrated approach for modelling and global registration of point clouds , 2007 .

[25]  Maoteng Zheng,et al.  Self-Calibration Adjustment of CBERS-02B Long-Strip Imagery , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[26]  Norbert Pfeifer,et al.  Use of Terrestrial Laser Scanning Technology for Long Term High Precision Deformation Monitoring , 2009, Sensors.

[27]  Zhang Min-we.  Status and Development of Terrestrial Laser Scanner , 2007 .

[28]  Jen-Jer Jaw,et al.  Registration of ground‐based LiDAR point clouds by means of 3D line features , 2008 .

[29]  E. J. Huising,et al.  Errors and accuracy estimates of laser data acquired by various laser scanning systems for topographic applications , 1998 .

[30]  Kia Ng,et al.  Automated reconstruction of 3D models from real environments , 1999 .

[31]  Liu Chun.  3D laser scanner and its effect factor analysis of surveying error , 2005 .