[1] Pontil M, Verri A. Support vector machines for object recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20, 637-646(1998).

[2] Hirzinger G, Landzettel K, Brunner B et al. DLR’s robotics technologies for on-orbit servicing[J]. Advanced Robotics, 18, 139-174(2004).

[3] Wen X, Wang X L, Liu B Z. U.S. test small satellite XSS-11 system[J]. Aerospace China, 36-38, 43(2006).

[4] Bischof B. Roger-robotic geostationary orbit restorer[C](2003).

[5] Zhou C Y, Li Y, Zou Z R. Three-dimensional cloud ICP algorithm improvement[J]. Computer Technology and Development, 21, 75-77, 81(2011).

[6] Liu J, Bai D. Point cloud registration algorithm based on feature matching[J]. Acta Optica Sinica, 38, 1215005(2018).

[7] Yan Y. Research on iterative closest point algorithm based on robust statistical methods[D](2014).

[8] Magnusson M, Lilienthal A, Duckett T. Scan registration for autonomous mining vehicles using-NDT[J]. Journal of Field Robotics, 24, 803-827(2007).

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

[10] Besl P J, McKay N D. A method for registration of 3-D shapes[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14, 239-256(1992).

[11] Lü Q Q. Modeling of point cloud data from laser scanners[D](2009).

[12] Dai J L, Chen Z Y, Ye X Z. The application of ICP algorithm in point cloud alignment[J]. Journal of Image and Graphics, 12, 517-521(2007).

[13] Yang B H. Research on ultra-close range pose measurement technology of non-cooperative spacecraft based on point cloud[D](2017).

[14] He S J, Zhao S T, Bai F et al. A method for spatial data registration based on PCA-ICP algorithm[J]. Advanced Materials Research, 718/719/720, 1033-1036(2013).

[15] Liu Z, Zhou T, Peng D D et al. An improved ICP point cloud registration algorithm based on PCA[J]. Journal of Natural Science of Heilongjiang University, 36, 473-478, 505(2019).