Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

Laser & Optoelectronics Progress, Volume. 62, Issue 16, 1615006(2025)

3D Object Detection Based on Fusion of Voxel Texture Information and Deep Semantic Features

Longfei Wang1, Likang Fan1,2,3、*, Yiqiang Peng1,4,5, Jie Cao1, Liu He1,2,3, Xulei Liu1,2,3, and Xiyuan Gao1
Author Affiliations
  • 1School of Automobile and Transportation, Xihua University, Chengdu 610039, Sichuan , China
  • 2Vehicle Measurement Control and Safety Key Laboratory of Sichuan Province, Xihua University, Chengdu 610039, Sichuan , China
  • 3Provincial Engineering Research Center for New Energy Vehicle Intelligent Control and Simulation Test Technology of Sichuan, Chengdu 610039, Sichuan , China
  • 4Yibin Institute in Xihua University, Yibin 644000, Sichuan , China
  • 5Sichuan Intelligent and New Energy Automobile Industry College, Yibin 644000, Sichuan , China
    • show less
    AbstractGet PDF(in Chinese)
    Figures&Tables (12)
    Equations (11)
    References (27)
    Tools
    Paper Information
    Topics
    References(27)

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

    [2] Sun P, Kretzschmar H, Dotiwalla X et al. Scalability in perception for autonomous driving: Waymo open dataset[C], 2443-2451(2020).

    [3] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1137-1149(2017).

    [4] Xie B Q, Yang L, Wei A L et al. MuTrans: multiple transformers for fusing feature pyramid on 2D and 3D object detection[J]. IEEE Transactions on Image Processing, 32, 4407-4415(2023).

    [5] Hwang G H, Lee S W, Jeon J. Ros2 implementation of object detection and distance estimation using camera and 2D LiDAR fusion in autonomous vehicle[C], 1-5(2024).

    [6] Zhao Y A, Lv W Y, Xu S L et al. DETRs beat YOLOs on real-time object detection[C], 16965-16974(2024).

    [7] Shi S S, Guo C X, Jiang L et al. PV-RCNN: point-voxel feature set abstraction for 3D object detection[C], 10526-10535(2020).

    [8] 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).

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

    [10] 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, 131, 531-551(2023).

    [11] Wu Y Q, Chen H X, Zhang Y. Review of 3D point cloud processing methods based on deep learning[J]. Chinese Journal of Lasers, 51, 0509001(2024).

    [12] 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).

    [13] Charles R Q, Yi L, Su H et al. PointNet++: deep hierarchical feature learning on point sets in a metric space[C], 5105-5114(2017).

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

    [15] Cao J, Peng Y Q, Wei H Q et al. KPTr: key point transformer for LiDAR-based 3D object detection[J]. Measurement, 242, 115820(2025).

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

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

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

    [19] Chen Y K, Liu J H, Zhang X Y et al. VoxelNeXt: fully sparse VoxelNet for 3D object detection and tracking[C], 21674-21683(2023).

    [20] Liu B Y, Wang M, Foroosh H et al. Sparse convolutional neural networks[C], 806-814(2015).

    [21] Graham B, Engelcke M, van der Maaten L. 3D semantic segmentation with submanifold sparse convolutional networks[C], 9224-9232(2018).

    [22] Liu Z, Lin Y T, Cao Y et al. Swin transformer: hierarchical vision transformer using shifted windows[C], 9992-10002(2021).

    [23] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition[C], 770-778(2016).

    [24] Khan S, Naseer M, Hayat M et al. Transformers in vision: a survey[J]. ACM Computing Surveys, 54, 1-41(2022).

    [25] Lin T Y, Goyal P, Girshick R et al. Focal loss for dense object detection[C], 2999-3007(2017).

    [26] Luo Q H, Ma H F, Tang L et al. 3D-SSD: Learning hierarchical features from RGB-D images for amodal 3D object detection[J]. Neurocomputing, 378, 364-374(2020).

    [27] Geiger A, Lenz P, Stiller C et al. Vision meets robotics: the KITTI dataset[J]. The International Journal of Robotics Research, 32, 1231-1237(2013).

    Tools

    Get Citation

    Copy Citation Text

    Longfei Wang, Likang Fan, Yiqiang Peng, Jie Cao, Liu He, Xulei Liu, Xiyuan Gao. 3D Object Detection Based on Fusion of Voxel Texture Information and Deep Semantic Features[J]. Laser & Optoelectronics Progress, 2025, 62(16): 1615006

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Set citation alerts for article
    Save article for my favorites
    Paper Information

    Category: Machine Vision

    Received: Dec. 31, 2024

    Accepted: Mar. 14, 2025

    Published Online: Aug. 4, 2025

    The Author Email: Likang Fan (BITfanlikang@163.com)

    DOI:10.3788/LOP242537

    CSTR:32186.14.LOP242537

    Topics

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