Infrared and Laser Engineering, Volume. 52, Issue 2, 20220367(2023)

Optimization and validation of coherent point drift for planar-array-based point cloud in space pose measurement

Changsheng Tan1,2,3, Genghua Huang1,2,3、*, Fengxiang Wang1,2, Wei Kong1,2, and Rong Shu1,2,3
Author Affiliations
  • 1Key Laboratory of Space Active Optoelectronic Technology, Chinese Academy of Sciences, Shanghai 200083, China
  • 2Shanghai Institute of Technology Physics, Chinese Academy of Sciences, Shanghai 200083, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
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    References(25)

    [1] Peng J, Xu W, Liang B, et al. Pose measurement and motion estimation of space non cooperative targets based on laser radar and stereo-vision fusion[J]. IEEE Sensors Journal, 19, 3008-3019(2019).

    [2] Yin F, Wu Y. Model reconstruction and pose optimization of non-cooperative rotating space target[J]. Optics and Precision Engineering, 27, 1852-1860(2019).

    [3] [3] do Carmo J P, Moebius B, Pfennigbauer M, et al. Imaging LIDARs f space applications[C]SPIE, 2008, 7061: 180191.

    [4] Chen F, Jie Z, Gu D, et al. Relative navigation technology of space non-cooperative target based on imaging lidar[J]. Infrared and Laser Engineering, 45, 1030005(2016).

    [5] He Y, Liang B, He J, et al. Non-cooperative spacecraft pose tracking based on point cloud feature[J]. Acta Astronautica, 139, 213-221(2017).

    [6] Zhao G, Xu S, Bo Y. LiDAR-based non-cooperative tumbling spacecraft pose tracking by fusing depth maps and point clouds[J]. Sensors, 18, 3432(2018).

    [7] Cao J, Hao Q, Zhang F, et al. Research progress of APD three-dimensional imaging lidar[J]. Infrared and Laser Engineering, 49, 20190549(2020).

    [8] Li X, Shao X, Li T, et al. Developments of short-wave infrared InGaAs focal plane detectors[J]. Infrared and Laser Engineering, 49, 0103006(2020).

    [9] [9] Rusu R B, Blodow N, Beetz M. Fast point feature histograms (FPFH) f 3D registration[C]2009 IEEE International Conference on Robotics Automation, 2009: 32123217.

    [10] [10] Rusu R B, Bradski G, Thibaux R, et al. Fast 3D recognition pose using the viewpoint feature histogram[C]2010 IEEERSJ International Conference on Intelligent Robots Systems, 2010: 21552162.

    [11] [11] Kim G, Kim A. Scan context: Egocentric spatial de f place recognition within 3D point cloud map[C]2018 IEEERSJ International Conference on Intelligent Robots Systems (IROS), 2018: 48024809.

    [12] [12] Chen X, Chen C H. Modelbased point cloud alignment with principle component analysis f robot welding[C]2017 International Conference on Advanced Robotics Intelligent Systems (ARIS), 2017: 8387.

    [13] [13] Aiger D, Mitra N J, Cohen D. 4points congruent sets f robust pairwise surface registration[M]ACM SIGGRAPH 2008, 2008: 110.

    [14] [14] Biber P, Straßer W. The nmal distributions transfm: A new approach to laser scan matching[C]Proceedings 2003 IEEERSJ International Conference on Intelligent Robots Systems, 2003, 3: 27432748.

    [15] [15] Mellado N, Aiger D, Mitra N J. Super 4 pcs fast global pointcloud registration via smart indexing[C]Computer Graphics Fum, 2014, 33(5): 205215.

    [16] Brenner C, Dold C, Ripperda N. Coarse orientation of terrestrial laser scans in urban environments[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 63, 4-18(2008).

    [17] [17] Besl P J, McKay N D. Method f registration of 3D shapes[C]SPIE, 1992, 1611: 586606.

    [18] Chen Y, Medioni G. Object modelling by registration of multiple range images[J]. Image and Vision Computing, 10, 145-155(1992).

    [19] Du S, Zheng N, Ying S, et al. Affine iterative closest point algorithm for point set registration[J]. Pattern Recognition Letters, 31, 791-799(2010).

    [20] Fitzgibbon A W. Robust registration of 2D and 3D point sets[J]. Image and Vision Computing, 21, 1145-1153(2003).

    [21] [21] Serafin J, Grisetti G. NICP: Dense nmal based point cloud registration[C]2015 IEEERSJ International Conference on Intelligent Robots Systems (IROS), 2015: 742749.

    [22] [22] Qi C R, Su H, Mo K, et al. Point: Deep learning on point sets f 3D classification segmentation [C]Proceedings of the IEEE Conference on Computer Vision Pattern Recognition. 2017: 652660.

    [23] [23] Zhang A, Min Z, Zhang Z, et al. Generalized 3D rigid point set registration with anisotropic positional err based on bayesian coherent point drift[C]2022 International Conference on Robotics Automation (ICRA), 2022: 37903796.

    [24] Zang Y, Lindenbergh R, Yang B, et al. Density-adaptive and geometry-aware registration of TLS point clouds based on coherent point drift[J]. IEEE Geoscience and Remote Sensing Letters, 17, 1628-1632(2019).

    [25] Myronenko A, Song X. Point set registration: Coherent point drift[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32, 2262-2275(2010).

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    Changsheng Tan, Genghua Huang, Fengxiang Wang, Wei Kong, Rong Shu. Optimization and validation of coherent point drift for planar-array-based point cloud in space pose measurement[J]. Infrared and Laser Engineering, 2023, 52(2): 20220367

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    Paper Information

    Category: Photoelectric measurement

    Received: May. 27, 2022

    Accepted: --

    Published Online: Mar. 13, 2023

    The Author Email: Genghua Huang (genghuah@mail.sitp.ac.cn)

    DOI:10.3788/IRLA20220367

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