Acta Optica Sinica, Volume. 45, Issue 8, 0815003(2025)

Contour Feature-Enhanced 3D Perception Method for Atypical Semantic Object

Farong Kou1、*, Kan Wang2, Yajun Zhao2, Tianxiang Yang2, and Gengyi Lü2
Author Affiliations
  • 1Institute of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an 710054, Shaanxi , China
  • 2College of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, Shaanxi , China
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    References(26)

    [3] Chen S M, Wang H, Liu J B et al. On-board multi-sensor fusion based track three-dimensional real-time construction method[J]. Acta Optica Sinica, 45, 0412004(2025).

    [5] Dai C G, Zhang Y J, Ji H L et al. Place recognition method based on feature fusion for LiDAR point clouds[J]. Acta Optica Sinica, 45, 0628002(2025).

    [6] Zhou H, Wang X C, Yuan Y. Three-dimensional point cloud registration network based on deep interactive multi-scale receptive field feature learning[J]. Acta Optica Sinica, 44, 1415001(2024).

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    Farong Kou, Kan Wang, Yajun Zhao, Tianxiang Yang, Gengyi Lü. Contour Feature-Enhanced 3D Perception Method for Atypical Semantic Object[J]. Acta Optica Sinica, 2025, 45(8): 0815003

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    Paper Information

    Category: Machine Vision

    Received: Dec. 20, 2024

    Accepted: Feb. 28, 2025

    Published Online: Apr. 27, 2025

    The Author Email: Farong Kou (koufarong@xust.edu.cn)

    DOI:10.3788/AOS241916

    CSTR:32393.14.AOS241916

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