Laser & Infrared, Volume. 55, Issue 5, 686(2025)
Ship detection and tracking based on 3D laser point clouds
[1] [1] Li Y, Ma L F, Zhong Z L, et al. Deep learning for LiDAR point clouds in autonomous driving: a review[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021, 32(8): 3412-3432.
[2] [2] Li Q J, Xue Y X. Real-time detection of street tree crowns using mobile laser scanning based on pointwise classification[J]. Biosystems Engineering, 2023, 231: 20-35.
[3] [3] Li Q J, Xue Y X. Total leaf area estimation based on the total grid area measured using mobile laser scanning[J]. Computers and Electronics in Agriculture, 2023, 204: 107503.
[4] [4] Li Q J, Yuan P C, Liu X, et al. Street tree segmentation from mobile laser scanning data[J]. International Journal of Remote Sensing, 2020, 41(18): 7145-7162.
[5] [5] Ahmed S M, Chew C M. Density-Based clustering for 3D object detection in point clouds[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle: CVF, 2020: 10608-10617.
[6] [6] Lang A H, Vora S, Caesar H, et al. PointPillars: fast encoders for object detection from point clouds[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Long Beach: CVF, 2019: 12697-12705.
[7] [7] Zhou Y, Tuzel O. VoxelNet: end-to-end learning for point cloud based 3D object detection[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Salt Lake City: CVF, 2018: 4490-4499.
[8] [8] Shi S S, Wang X G, Li H S. PointRCNN: 3D object proposal generation and detection from point cloud[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Long Beach: CVF, 2019: 770-779.
[9] [9] Ding G H, Liu J N, Xia Y X, et al. LiDAR point cloud-based multiple vehicle tracking with probabilistic measurement-region association[EB/OL]. (2024-05-18). https://export.arxiv.org/abs/2403.06423v2.
[10] [10] Fang L Y, Luo Q, Sun Y. Point cloud target detection and tracking algorithm based on K-means and Kalman[J]. Journal of Physics: Conference Series, 2021: 1952: 022024.
[11] [11] Qin L, Wei Y X, Yu F, et al. Research on target recognition and tracking technology based on laser point cloud[C]//2023 6th International Conference on Computer Network, Electronic and Automation (ICCNEA). Xi'an: IEEE, 2023: 120-124.
[12] [12] Hui L, Wang L P, Tang L H, et al.3D Siamese transformer network for single object tracking onpoint clouds[C]//Avidan S, Brostow G, Ciss M, et al. Computer Vision-ECCV 2022. Cham: Springer, 2022: 293-310.
[13] [13] Zhou C Q, Luo Z P, Luo Y R, et al. PTTR: relational 3D point cloud object tracking with transformer[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). New Orleans: CVF, 2022: 8531-8540.
[14] [14] Shi S S, Guo C X, Jiang L, et al. PV-RCNN: point-voxel feature set abstraction for 3D object detection[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Seattle: CVF, 2020: 10529-10538.
[15] [15] Shi S S, Jiang L, Deng J J, et al. PV-RCNN++: point-voxel feature set abstraction with local vector representation for 3D object detection[J]. International Journal of Computer Vision, 2023, 131(2): 531-551.
[16] [16] Chen Y K, Li Y W, Zhang X Y, et al. Focal sparse convolutional networks for 3D object detection[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. New Orleans: CVF, 2022: 5428-5437.
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HUANG Lei, CHEN Yue, LI Zhao-chun, QI Liang-jian, CHENG Yu-zhu. Ship detection and tracking based on 3D laser point clouds[J]. Laser & Infrared, 2025, 55(5): 686
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Received: Sep. 5, 2024
Accepted: Jul. 11, 2025
Published Online: Jul. 11, 2025
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