[1] Kim M, Byun S, Kim J. A monocular vision based technique for estimating direction of 3D parallel lines and its application to measurement of pallet[J]. Journal of Korea Multimedia Society, 21, 1254-1262(2018).

[2] Zhao J H, Lü E L, Lu H Z et al. Pallet localization detecting algorithm based on laser scanning[J]. Chinese Journal of Scientific Instrument, 38, 2469-2476(2017).

[3] Weng B W. Research of aviation baggage transportability calculation method based on 3D point cloud[D](2020).

[4] Zhan Y, Chen Z H, Zhu B C et al. A pallet recognition method based on adaptive color fast point feature histogram[J]. Journal of Shang Hai Jiao Tong University, 57, 297-308(2023).

[5] Xu B, Zhao P, Liu W et al. Pallet positioning system integrating image and point cloud processing[J]. Manufacturing Automation, 44, 157-161, 172(2022).

[6] Sahin C, Garcia-Hernando G, Sock J et al. A review on object pose recovery: from 3D bounding box detectors to full 6D pose estimators[J]. Image and Vision Computing, 96, 103898(2020).

[7] Yang Y L, Li J Y, Wang Y et al. Point cloud registration algorithm based on NDT and feature point detection[J]. Laser & Optoelectronics Progress, 59, 0810016(2022).

[8] Yang J L, Li H D, Campbell D et al. Go-ICP: a globally optimal solution to 3D ICP point-set registration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38, 2241-2254(2016).

[9] Hu J, Liu H, Xu W C et al. Position detection algorithm of road obstacles based on 3D LiDAR[J]. Chinese Journal of Lasers, 48, 2410001(2021).

[10] Zhao H, Zhuang C G, Jia L et al. 6D Pose Estimation of Texture-Less Object in RGB-D Images[M]. Billingsley J, Brett P. Mechatronics and machine vision in practice 4, 45-58(2021).

[11] Rusu R B, Blodow N, Beetz M. Fast point feature histograms (FPFH) for 3D registration[C], 3212-3217(2009).

[12] Salti S, Tombari F, Di Stefano L. SHOT: Unique signatures of histograms for surface and texture description[J]. Computer Vision and Image Understanding, 125, 251-264(2014).

[13] Yu M H, Cui X N, Wu L et al. 3D recognition algorithm based on curvature point pair features[J]. Laser & Optoelectronics Progress, 60, 1210020(2023).

[14] Zhang Y H, Li C H, Guo B et al. KDD: a kernel density based descriptor for 3D point clouds[J]. Pattern Recognition, 111, 107691(2021).

[15] Guo W L, Hu W D, Liu C et al. 3D object recognition from cluttered and occluded scenes with a compact local feature[J]. Machine Vision and Applications, 30, 763-783(2019).

[16] Zhang L, Xu X B, Cao C F et al. Robot pose estimation method based on image and point cloud fusion with dynamic feature elimination[J]. Chinese Journal of Lasers, 49, 0610001(2022).

[17] Du G G, Wang K, Lian S G et al. Vision-based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review[J]. Artificial Intelligence Review, 54, 1677-1734(2021).

[18] Wang F, Liang C, Han X G et al. Visual guidance of welding robot based on weldment recognition and pose estimation[J]. Control and Decision, 35, 1873-1878(2020).

[19] Li J Y, Hu Q W, Ai M Y. Point cloud registration based on one-point RANSAC and scale-annealing biweight estimation[J]. IEEE Transactions on Geoscience and Remote Sensing, 59, 9716-9729(2021).

[20] 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).

[21] Wen W W, Wen G J, Hui B W et al. Model library construction by combining global and local surfaces for 3D object recognition[J]. Journal of Image and Graphics, 24, 248-257(2019).

[22] Huang H, Wu S H, Cohen-Or D et al. L1-medial skeleton of point cloud[J]. ACM Transactions on Graphics, 32, 1-8(2013).

[23] Peng Z, Lü Y J, Qu C et al. Accurate registration of 3D point clouds based on keypoint extraction and improved iterative closest point algorithm[J]. Laser & Optoelectronics Progress, 57, 061002(2020).

[24] Wang C, Shu Q, Yang Y X et al. Quick registration algorithm of point clouds using structure feature[J]. Acta Optica Sinica, 38, 0911005(2018).