[1] Lei X D, Wang H T, Zhao Z Z. Small sample airborne LiDAR point cloud classification based on transfer learning[J]. Chinese Journal of Lasers, 47, 1110002(2020).

[2] Gu S T, Wang L, Ma Y X et al. Local feature description of LiDAR point cloud data based on hierarchical Mercator projection[J]. Acta Optica Sinica, 40, 2015001(2020).

[3] Hu H Y, Hui Z Y, Li N. Airborne LiDAR point cloud classification based on multiple-entity eigenvector fusion[J]. Chinese Journal of Lasers, 47, 0810002(2020).

[4] Yi Q, Zhong H Y, Liu L et al. Dynamic inspection of wheel profile based on ROI-RSICP algorithm[J]. Chinese Journal of Lasers, 47, 1104006(2020).

[5] Fan X H, Xu G L, Li W L et al. Target segmentation method for three-dimensional LiDAR point cloud based on depth image[J]. Chinese Journal of Lasers, 46, 0710002(2019).

[6] Zhang Z J, Cheng X J, Cao Y J et al. Application of 3D reconstruction of relic sites combined with laser and vision point cloud[J]. Chinese Journal of Lasers, 47, 1110001(2020).

[7] Zarzar J, Giancola S, Ghanem B. Efficient bird eye view proposals for 3D Siamese tracking[EB/OL]. (2019-03-25)[2021-02-22]. https://arxiv.org/abs/1903.10168

[8] Giancola S, Zarzar J, Ghanem B. Leveraging shape completion for 3D Siamese tracking[C]. //2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 15-20, 2019, Long Beach, CA, USA., 1359-1368(2019).

[9] Qi H Z, Feng C, Cao Z G et al. P2B: point-to-box network for 3D object tracking in point clouds[C]. //2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 13-19, 2020, Seattle, WA, USA, 6328-6337(2020).

[10] Wang N Y, Shi J P, Yeung D Y et al. Understanding and diagnosing visual tracking systems[C]. //2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile., 3101-3109(2015).

[11] Achlioptas P, Diamanti O, Mitliagkas I et al. Learning representations and generative models for 3d point clouds[EB/OL]. (2017-07-08)[2021-02-20]. https://arxiv.org/abs/1707.02392

[12] Li B, Yan J J, Wu W et al. High performance visual tracking with Siamese region proposal network[C]. //2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA., 8971-8980(2018).

[13] Zou H, Cui J H, Kong X et al. F-Siamese tracker: a frustum-based double Siamese network for 3D single object tracking[C]. //2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 24 -January 24, 2021, Las Vegas, NV, USA, 8133-8139(2021).

[14] Fang Z, Zhou S F, Cui Y B et al. 3D-SiamRPN: an end-to-end learning method for real-time 3D single object tracking using raw point cloud[J]. IEEE Sensors Journal, 21, 4995-5011(2021).

[15] Qi C R, Litany O, He K M et al. Deep Hough voting for 3D object detection in point clouds[C]. //2019 IEEE/CVF International Conference on Computer Vision (ICCV), October 27-November 2, 2019, Seoul, Korea (South)., 9276-9285(2019).

[16] Qi C R, Yi L, Su H et al. PointNet++: deep hierarchical feature learning on point sets in a metric space[C]. //NIPS’17: Proceedings of the 31st International Conference on Neural Information Processing Systems, December 4-9, Long Beach, CA, USA, 5105-5114(2017).

[17] He C H, Zeng H, Huang J Q et al. Structure aware single-stage 3D object detection from point cloud[C]. //2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 13-19, 2020, Seattle, WA, USA., 11870-11879(2020).

[18] Geiger A, Lenz P, Urtasun R. Are we ready for autonomous driving? The KITTI vision benchmark suite[C]. //2012 IEEE Conference on Computer Vision and Pattern Recognition, June 16-21, 2012, Providence, RI, USA., 3354-3361(2012).

[19] Girshick R. Fast R-CNN[C]. //2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile., 1440-1448(2015).

[20] Lin T Y, Goyal P, Girshick R et al. Focal loss for dense object detection[C]. //2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice, Italy., 2999-3007(2017).

[21] Kristan M, Matas J, Leonardis A et al. A novel performance evaluation methodology for single-target trackers[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38, 2137-2155(2016).