Chinese Journal of Liquid Crystals and Displays, Volume. 40, Issue 9, 1296(2025)
Point cloud object detection method based on multi-pillar feature fusion
[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).
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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
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Received: Apr. 25, 2025
Accepted: --
Published Online: Sep. 25, 2025
The Author Email: Lijuan ZHANG (zhanglijuan@cwxu.edu.cn)