Laser & Optoelectronics Progress, Volume. 62, Issue 12, 1215011(2025)

Self-Supervised Learning-Based Camera-Radar Odometry Fusion Localization

Hanwen Zhang1 and Yanyang Wang1,2、*
Author Affiliations
  • 1Vehicle Measurement, Control and Safety Key Laboratory of Sichuan Province, Xihua University, Chengdu 610039, China
  • 2Provincial Engineering Research Center for New Energy Vehicle Intelligent Control and Simulation Test Technology of Sichuan, Xihua University, Chengdu 610039, China
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    References(26)

    [1] Chen M F, Huang L E, Wang S et al. Survey of research on visual odometry technology for mobile robots[J]. Transactions of the Chinese Society for Agricultural Machinery, 55, 1-20(2023).

    [3] Zhao Y B, Liu C H, Zheng Z et al. A localization method based on multi-sensor information fusion for intelligent vehicles[J]. Chinese Journal of Automotive Engineering, 11, 1-10(2021).

    [11] Zhang Z Y, Yang X G, Lu R T et al. VFE-VO: optical flow method for visual feature enhancement visual mileage calculation method[J/OL]. Laser & Optoelectronics Progress, 62, 0612006(2025).

    [15] Cao J, Peng Y Q, Fan L K et al. 3D object detection with LiDAR based on multi-attention mechanisms[J]. Laser & Optoelectronics Progress, 62, 0412001(2025).

    [26] Han C M, Wu G C. Single-view endoscopic surgical light field reconstruction combining vision Transformer and diffusion model (invited)[J]. Laser & Optoelectronics Progress, 61, 1611013(2024).

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    Hanwen Zhang, Yanyang Wang. Self-Supervised Learning-Based Camera-Radar Odometry Fusion Localization[J]. Laser & Optoelectronics Progress, 2025, 62(12): 1215011

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    Paper Information

    Category: Machine Vision

    Received: Sep. 3, 2024

    Accepted: Jan. 7, 2025

    Published Online: Jun. 25, 2025

    The Author Email: Yanyang Wang (yywang@mail.xhu.edu.cn)

    DOI:10.3788/LOP241942

    CSTR:32186.14.LOP241942

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