Laser & Optoelectronics Progress, Volume. 62, Issue 4, 0415002(2025)

Adaptive Multimodal-Feature Fusion for 6D Object Position Estimation

Chuanfang Zang1,2、*, Jianwu Dang1,2, and Jiu Yong1,2
Author Affiliations
  • 1School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, Gansu , China
  • 2National Virtual Simulation Experimental Teaching Center of Rail Transit Information and Control, Lanzhou 730070, Gansu , China
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    References(29)

    [1] Su J, Zhang Y Z, Fang L J et al. Estimation of the grasping pose of unknown objects based on multiple geometric constraints[J]. Robot, 42, 129-138(2020).

    [2] Meng Y B, Huang Q, Han J Q et al. Robot dynamic object positioning and grasping method based on two stages[J]. Laser & Optoelectronics Progress, 60, 0615005(2023).

    [3] Qu R, Li Y, Shuang F et al. Robotic arm visual grasping algorithm and system based on RGB-D images[J]. Laser & Optoelectronics Progress, 59, 1415025(2022).

    [5] Cheng C Z, Cui H H, Liu Y Q et al. Multi-point precision virtual-real registration method for aircraft piping and cable assembly[J]. Acta Optica Sinica, 44, 0412001(2024).

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    Chuanfang Zang, Jianwu Dang, Jiu Yong. Adaptive Multimodal-Feature Fusion for 6D Object Position Estimation[J]. Laser & Optoelectronics Progress, 2025, 62(4): 0415002

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    Paper Information

    Category: Machine Vision

    Received: May. 8, 2024

    Accepted: Jun. 17, 2024

    Published Online: Feb. 10, 2025

    The Author Email:

    DOI:10.3788/LOP241238

    CSTR:32186.14.LOP241238

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