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Laser & Optoelectronics Progress, Volume. 62, Issue 10, 1012001(2025)

Enhancing PointPillars Three-Dimensional Object Detection with Density Clustering and Dual Attention Mechanisms

Qingxin Yang1、*, Deming Kong1, Jing Chen2, Xiaowei Li3, and Yue Shen4
Author Affiliations
  • 1School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, Hebei , China
  • 2School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, Hebei , China
  • 3School of Information, Beijing Wuzi University, Beijing 101149, China
  • 4Hebei YSUSOFT Co. Ltd., Qinhuangdao 066000, Hebei , China
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    [1] Bengler K, Dietmayer K, Farber B et al. Three decades of driver assistance systems: review and future perspectives[J]. IEEE Intelligent Transportation Systems Magazine, 6, 6-22(2014).

    [2] Meng X R. Research of target recognition and target tracking[J]. China Computer & Communication, 33-34, 37(2019).

    [3] Li B Y, Ouyang W L, Sheng L et al. GS3D: an efficient 3D object detection framework for autonomous driving[C], 1019-1028(2019).

    [4] Arnold E, Al-Jarrah O Y, Dianati M et al. A survey on 3D object detection methods for autonomous driving applications[J]. IEEE Transactions on Intelligent Transportation Systems, 20, 3782-3795(2019).

    [5] Wang Y, Chao W L, Garg D et al. Pseudo-LiDAR from visual depth estimation: bridging the gap in 3D object detection for autonomous driving[C], 8437-8445(2019).

    [6] Li J N, Wang Z, Xu T F. Three-dimensional object detection technology based on point cloud data[J]. Acta Optica Sinica, 43, 1515001(2023).

    [7] Weng X S, Kitani K. Monocular 3D object detection with pseudo-LiDAR point cloud[C], 857-866(2019).

    [8] Vora S, Lang A H, Helou B et al. PointPainting: sequential fusion for 3D object detection[C], 4603-4611(2020).

    [9] Li X L, Zhou Y E, Bi T F et al. Review on key technologies of lightweight type-aware LiDAR[J]. Chinese Journal of Lasers, 49, 1910002(2022).

    [10] Shi W J, Rajkumar R. Point-GNN: graph neural network for 3D object detection in a point cloud[C], 1708-1716(2020).

    [11] Yang Z T, Sun Y N, Liu S et al. 3DSSD: point-based 3D single stage object detector[C], 11037-11045(2020).

    [12] Zhou Y, Tuzel O. VoxelNet: end-to-end learning for point cloud based 3D object detection[C], 4490-4499(2018).

    [13] Yan Y, Mao Y X, Li B. SECOND: sparsely embedded convolutional detection[J]. Sensors, 18, 3337(2018).

    [14] Lang A H, Vora S, Caesar H et al. PointPillars: fast encoders for object detection from point clouds[C], 12689-12697(2019).

    [15] He Q, Li N, Luo W J et al. A survey of machine learning algorithms for big data[J]. Pattern Recognition and Artificial Intelligence, 27, 327-336(2014).

    [16] Ren H, Wang X G. Review of attention mechanism[J]. Journal of Computer Applications, 41, 1-6(2021).

    [17] Chen C F R, Fan Q F, Panda R. CrossViT: cross-attention multi-scale vision transformer for image classification[C], 347-356(2021).

    [18] Liu W, Anguelov D, Erhan D et al. SSD: single shot MultiBox detector[M]. Computer vision-ECCV 2016, 9905, 21-37(2016).

    [19] Wang Y Y, Wang Y N, Liu J X et al. Research on application of port logistics big data based on Hadoop[J]. Journal of Yanshan University, 47, 216-220, 228(2023).

    [20] Wang X L, Girshick R, Gupta A et al. Non-local neural networks[C], 7794-7803(2018).

    [21] Geiger A, Lenz P, Urtasun R. Are we ready for autonomous driving? The KITTI vision benchmark suite[C], 3354-3361(2012).

    [22] Hu J, An Y P, Xu W C et al. 3D object detection based on deep semantics and position information fusion of laser point cloud[J]. Chinese Journal of Lasers, 50, 1010003(2023).

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    Qingxin Yang, Deming Kong, Jing Chen, Xiaowei Li, Yue Shen. Enhancing PointPillars Three-Dimensional Object Detection with Density Clustering and Dual Attention Mechanisms[J]. Laser & Optoelectronics Progress, 2025, 62(10): 1012001

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Feb. 22, 2024

    Accepted: Apr. 26, 2024

    Published Online: Apr. 23, 2025

    The Author Email:

    DOI:10.3788/LOP240732

    CSTR:32186.14.LOP240732

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology