Opto-Electronic Engineering, Volume. 46, Issue 7, 180268(2019)
Ground segmentation from 3D point cloud using features of scanning line segments
[1] [1] Gong Y P, Jin T, Tong S G. Segmentation method for point cloud data[J]. Journal of Engineering Graphics, 2006, 27(4): 8–13.
[2] [2] Wu L S, Yu T, Chen H W. Reduction algorithm of point cloud segmentation based on adaptive elliptical distance[J]. Computer Applications and Software, 2016, 33(2): 42–45.
[3] [3] Huangfu Z M, Yan L, Zhang S. A new method for estimation of normal vector and curvature based on scattered point cloud[J]. Journal of Computational Information Systems, 2012, 8(19): 7937–7945.
[4] [4] Klasing K, Wollherr D, Buss M. A clustering method for efficient segmentation of 3D laser data[C]//Proceedings of 2008 IEEE International Conference on Robotics and Automation, 2008: 4043–4048.
[5] [5] Rabbani T, Van den Heuvel F A, Vosselman M G. Segmentation of point clouds using smoothness constraints, international archives of photogrammetry[J]. Remote Sensing and Spatial Information Sciences, 2006, 36(5): 248–253.
[6] [6] Vo A V, Truong-Hong L, Laefer D F, et al. Octree-based region growing for point cloud segmentation[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 104: 88–100.
[7] [7] Guo B Q, Yu Z J, Zhang N, et al. 3D point cloud segmentation, classification and recognition algorithm of railway scene[J]. Chinese Journal of Scientific Instrument, 2017, 38(9): 2103–2111.
[8] [8] Hoffman R, Jain A K. Segmentation and classification of range images[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1987, PAMI-9(5): 608–620.
[9] [9] Zhang X M, Wan W G, Xiao L, et al. Mean shift clustering segmentation and RANSAC simplification of color point cloud[C]//Proceedings of 2014 International Conference on Audio, Language and Image Processing, 2014: 837–841.
[10] [10] Kisner H, Thomas U. Segmentation of 3D point clouds using a new spectral clustering algorithm without a-priori knowledge[C]//Proceedings of the International Conference on Computer Vision Theory and Applications, 2018: 315–322.
[11] [11] Ku.ak R A, .zdemir E, Erol S. The segmentation of point clouds with k-means and ANN (artifical neural network)[J]. ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017, XLII-1/W1: 595–598.
[12] [12] Wang X H,Wu LS, Chen HW, et al. Region segmentation of point cloud data based on improved particle swarm optimization fuzzy clustering[J]. Optics and Precision Engineering, 2017, 25(4): 1095–1105.
[13] [13] Rummelhard L, Paigwar A, Nègre A, et al. Ground estimation and point cloud segmentation using SpatioTemporal conditional random field[C]//Proceedings of 2017 IEEE Intelligent Vehicles Symposium, 2017: 1105–1110.
[14] [14] Fan L, Liu J H, Huang Q Q. Point cloud segmentation algorithm based on feature fusion used for understory environments[J]. Journal of Beijing Forestry University, 2016, 38(5): 133–138.
[15] [15] Moosmann F, Pink O, Stiller C. Segmentation of 3D Lidar data in non-flat urban environments using a local convexity criterion[C]//Proceedings of 2009 IEEE Intelligent Vehicles Symposium, 2009: 215–220.
[16] [16] Hernandez J, Marcotegui B. Point cloud segmentation towards urban ground modeling[C]//Proceedings of 2009 Joint Urban Remote Sensing Event, 2009: 1–5.
[17] [17] Himmelsbach M, Hundelshausen F V, Wuensche H J. Fast segmentation of 3D point clouds for ground vehicles[C]//Proceedings of 2010 IEEE Intelligent Vehicles Symposium, 2010: 560–565.
[18] [18] Zhu Z, Liu J L. Real-time Markov random field based ground segmentation of 3D Lidar data[J]. Journal of Zhejiang University (Engineering Science), 2015, 49(3): 464–469.
Get Citation
Copy Citation Text
[in Chinese], [in Chinese], [in Chinese]. Ground segmentation from 3D point cloud using features of scanning line segments[J]. Opto-Electronic Engineering, 2019, 46(7): 180268
Category: Article
Received: May. 22, 2018
Accepted: --
Published Online: Jul. 25, 2019
The Author Email: (rrrgggqqq@163.com)