Laser & Optoelectronics Progress, Volume. 61, Issue 24, 2415004(2024)

3D Object Detection Based on Voxel Self-Attention Auxiliary Networks

Jie Cao1, Yiqiang Peng1,2,3, Likang Fan1,2,3、*, and Longfei Wang1
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
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    References(34)

    [15] 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).

    [27] Shi L, Wang Y, Cheng Y et al. Review of attention mechanism in natural language processing[J]. Data Analysis and Knowledge Discovery, 4, 1-14(2020).

    [33] 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).

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    Jie Cao, Yiqiang Peng, Likang Fan, Longfei Wang. 3D Object Detection Based on Voxel Self-Attention Auxiliary Networks[J]. Laser & Optoelectronics Progress, 2024, 61(24): 2415004

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    Paper Information

    Category: Machine Vision

    Received: Mar. 19, 2024

    Accepted: Apr. 24, 2024

    Published Online: Dec. 13, 2024

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

    DOI:10.3788/LOP240923

    CSTR:32186.14.LOP240923

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