APPLIED LASER, Volume. 43, Issue 11, 161(2023)

LiDAR Point Cloud Fusion Algorithm Based on IMU and Improved ICP Algorithm

Wang Ruyi1, Zhou Zhifeng1, Zhang Wei2, and Zhou Wei3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(11)

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    [5] [5] ROSINOL A, ABATE M, CHANG Y, et al. Kimera: an open-source library for real-time metric-semantic localization and mapping[C]//2020 IEEE International Conference on Robotics and Automation (ICRA). Paris, France. New York: IEEE, 2020: 1689-169.

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    [12] [12] LUO H J, BAO H, XU C. Fast Closed-Loop SLAM based on the fusion of IMU and Lidar[J]. Journal of Physics: Conference Series, 2021, 1914(1): 012019.

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    [20] [20] BIBER P, STRASSER W. The normal distributions transform: A new approach to laser scan matching[C]//Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453). Las Vegas, NV, USA: IEEE, 2004: 2743-2748.

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    Wang Ruyi, Zhou Zhifeng, Zhang Wei, Zhou Wei. LiDAR Point Cloud Fusion Algorithm Based on IMU and Improved ICP Algorithm[J]. APPLIED LASER, 2023, 43(11): 161

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    Paper Information

    Received: Jul. 22, 2022

    Accepted: --

    Published Online: May. 23, 2024

    The Author Email:

    DOI:10.14128/j.cnki.al.20234311.161

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