Chinese Journal of Liquid Crystals and Displays, Volume. 40, Issue 9, 1296(2025)

Point cloud object detection method based on multi-pillar feature fusion

Zhihan FU1,2, Zhiyi LI3, Chuang DAI2, and Lijuan ZHANG2、*
Author Affiliations
  • 1School of Computer Science, Nanjing University of Information Science and Technology, Nanjing 210044, China
  • 2School of Internet of Things Engineering, Wuxi University, Wuxi 214105, China
  • 3College of Instrument Science and Electrical Engineering, Jilin University, Changchun 130012, China
  • show less
    References(30)

    [3] QI C R, YI L, SU H et al. PointNet++: deep hierarchical feature learning on point sets in a metric space[C], 5105-5114(2017).

    [14] VASWANI A, SHAZEER N, PARMAR N et al. Attention is all you need[C](2017).

    [17] SHI S S, WANG Z, SHI J P et al. From points to parts: 3D object detection from point cloud with part-aware and part-aggregation network[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43, 2647-2664(2021).

    [21] CHEN X Z, KUNDU K, ZHU Y K et al. 3D object proposals for accurate object class detection[C], 424-432(2015).

    [27] ZHOU Y, SUN P, ZHANG Y et al. End-to-end multi-view fusion for 3D object detection in LiDAR point clouds[C], 923-932(2019).

    Tools

    Get Citation

    Copy Citation Text

    Zhihan FU, Zhiyi LI, Chuang DAI, Lijuan ZHANG. Point cloud object detection method based on multi-pillar feature fusion[J]. Chinese Journal of Liquid Crystals and Displays, 2025, 40(9): 1296

    Download Citation

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

    Category:

    Received: Apr. 25, 2025

    Accepted: --

    Published Online: Sep. 25, 2025

    The Author Email: Lijuan ZHANG (zhanglijuan@cwxu.edu.cn)

    DOI:10.37188/CJLCD.2025-0096

    Topics