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Acta Optica Sinica, Volume. 45, Issue 12, 1228006(2025)

Multi-View Fusion Object Detection Method Based on Lidar Point Cloud Projection

Mu Zhou1,2、*, Haocheng Ran1,2, Yong Wang1,2, and Nan Du1,2,3
Author Affiliations
  • 1School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • 2Engineering Research Center of Mobile Communications, Ministry of Education, Chongqing 400065, China
  • 3Department of Computer Science and Technology, Tangshan Normal University, Tangshan 063000, Hebei , China
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    [1] Li H C, Guan H Y, Lei X D et al. Point-voxel consistency constraint network for LiDAR point cloud classification under urban scenes[J]. Chinese Journal of Lasers, 51, 1310003(2024).

    [2] Zhang Y H, Xu K, Zheng C H et al. Advanced research on information perception technologies of intelligent electric vehicles[J]. Chinese Journal of Scientific Instrument, 38, 794-805(2017).

    [3] Reddy R A, Kashif S B, Kumar K E et al. Object detection system in self-driving cars by calibrated camera and LiDAR sensor data-implementation of the hybrid PointPillar method[C]. Turkiye, 8-10(2023).

    [4] 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).

    [5] Hussain R, Zeadally S. Autonomous cars: research results, issues, and future challenges[J]. IEEE Communications Surveys & Tutorials, 21, 1275-1313(2019).

    [6] Qin J, Wang W B, Zou Q J et al. Review of 3D target detection methods based on LiDAR point clouds[J]. Computer Science, 50, 259-265(2023).

    [7] Charles R Q, Hao S, Mo K C et al. PointNet: deep learning on point sets for 3D classification and segmentation[C], 77-85(2017).

    [8] Charles R Q, Yi L, Su H et al. PointNet++: deep hierarchical feature learning on point sets in a metric space[EB/OL]. https:∥arxiv.org/abs/1706.02413

    [9] Shi S S, Wang X G, Li H S. PointRCNN: 3D object proposal generation and detection from point cloud[C], 770-779(2019).

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

    [11] Yang Z T, Sun Y N, Liu S et al. STD: sparse-to-dense 3D object detector for point cloud[C], 1951-1960(2019).

    [12] Qi C R, Liu W, Wu C X et al. Frustum PointNets for 3D object detection from RGB-D data[C], 918-927(2018).

    [13] Ku J, Mozifian M, Lee J et al. Joint 3D proposal generation and object detection from view aggregation[C], 1-5(2018).

    [14] Chen X Z, Ma H M, Wan J et al. Multi-view 3D object detection network for autonomous driving[C], 6526-6534(2017).

    [15] Zhou Z G, Ma W H. 3D object detection based on multilayer multimodal fusion[J]. Acta Electronica Sinica, 52, 696-708(2024).

    [16] Mohapatra S, Yogamani S, Gotzig H et al. BEVDetNet: bird’s eye view LiDAR point cloud based real-time 3D object detection for autonomous driving[C], 2809-2815(2021).

    [17] Zhou J, Tan X, Shao Z W et al. FVNet: 3D front-view proposal generation for real-time object detection from point clouds[C], 19-21(2019).

    [18] Ren K Y, Gu M Y, Yuan Z Q et al. 3D object detection algorithms in autonomous driving: a review[J]. Control and Decision, 38, 865-889(2023).

    [19] Yang B, Luo W J, Urtasun R. PIXOR: real-time 3D object detection from point clouds[C], 7652-7660(2018).

    [20] Tian S, Long A Y. Point cloud classification method based on graph convolution and multilayer feature fusion[J]. Laser & Optoelectronics Progress, 60, 1415003(2023).

    [21] Simon M, Milz S, Amende K et al. Complex-YOLO: real-time 3D object detection on point clouds[EB/OL]. https:∥arxiv.org/abs/1803.06199v2

    [22] Wang Q L, Wu B G, Zhu P F et al. ECA-net: efficient channel attention for deep convolutional neural networks[C], 11531-11539(2020).

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    Mu Zhou, Haocheng Ran, Yong Wang, Nan Du. Multi-View Fusion Object Detection Method Based on Lidar Point Cloud Projection[J]. Acta Optica Sinica, 2025, 45(12): 1228006

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Nov. 19, 2024

    Accepted: Jan. 2, 2025

    Published Online: May. 16, 2025

    The Author Email: Mu Zhou (zhoumu@cqupt.edu.cn)

    DOI:10.3788/AOS241772

    CSTR:32393.14.AOS241772

    Topics

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