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Laser & Optoelectronics Progress, Volume. 61, Issue 14, 1428007(2024)

Research on Infrared and LiDAR Calibration Algorithm for Road Scene

Zhaofei Xu1,3, Jian Liao2、*, Hongcheng Wang1, Chong Kang2, Wei He1, and Wuyue Wang2
Author Affiliations
  • 1Yantai IRay Technology Co., Ltd., Yantai 264000, Shandong, China
  • 2Yantai Research Institute, Harbin Engineering University, Yantai 265503, Shandong, China
  • 3College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin 150006, Heilongjiang, China
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    [2] Xiao Y Q, Yin S A, Cui G Z et al. A near-field area object detection method for intelligent vehicles based on multi-sensor information fusion[J]. World Electric Vehicle Journal, 13, 160(2022).

    [3] Roos F, Bechter J, Knill C et al. Radar sensors for autonomous driving: modulation schemes and interference mitigation[J]. IEEE Microwave Magazine, 20, 58-72(2019).

    [4] Xiao Y N, Liu Z. Accident liability determination of autonomous driving systems based on artificial intelligence technology and its impact on public mental health[J]. Journal of Environmental and Public Health, 2022, 2671968(2022).

    [5] Huang Z Q, Su Y, Wang Q W et al. Research on extrinsic parameter calibration method of 2D laser rangefinder (LRF) and visible light camera[J]. Chinese Journal of Scientific Instrument, 41, 121-129(2020).

    [6] Kassir A, Peynot T. Reliable automatic camera-laser calibration[EB/OL]. https://www.?araa.asn.au/acra/acra2010/papers/pap137s1-file1.pdf

    [7] Huang M Y, Wu J, Peng Z Y. Calibration of multi-head panoramic camera using 2D checkerboard under rotation photography[J]. Acta Geodaetica et Cartographica Sinica, 51, 2541-2556(2022).

    [8] Jung S, Kim J, Lee H J et al. Camera: LiDAR calibration using ICP-based automatic plane extraction method[J]. Proceedings of SPIE, 11515, 1151530(2020).

    [9] Park Y, Yun S, Won C S et al. Calibration between color camera and 3D LIDAR instruments with a polygonal planar board[J]. Sensors, 14, 5333-5353(2014).

    [10] Zhou S, Zhu X F, Lu Y D. Calibration method for fisheye camera based on multi-checkerboard detection[J]. Automation and Machine Learning, 4, 24-31(2023).

    [11] Bennett S, Lasenby J. ChESS-quick and robust detection of chess-board features[J]. Computer Vision and Image Understanding, 118, 197-210(2014).

    [12] Geiger A, Moosmann F, Car Ö et al. Automatic camera and range sensor calibration using a single shot[C], 3936-3943(2012).

    [13] Donné S, de Vylder J, Goossens B et al. MATE: machine learning for adaptive calibration template detection[J]. Sensors, 16, 1858(2016).

    [14] Chen B, Xiong C H, Zhang Q, Chen Z Y, Mendes A, Yan Y M et al. CCDN: checkerboard corner detection network for robust camera calibration[M]. Intelligent robotics and applications. Lecture notes in computer science, 10985, 324-334(2018).

    [15] Sanchez J, Denis F, Checchin P et al. Global registration of 3D LiDAR point clouds based on scene features: application to structured environments[J]. Remote Sensing, 9, 1014(2017).

    [16] Liao D, Zhang H, Zhao C Y. Multi-camera calibration method based on large-scene[J]. Computer Science, 49, 531-536(2022).

    [17] Liu X Y, Yuan C J, Zhang F. Fast and accurate extri-nsic calibration for multiple LiDARs and cameras[EB/OL]. http://arxiv.org/abs/2109.06550

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    Zhaofei Xu, Jian Liao, Hongcheng Wang, Chong Kang, Wei He, Wuyue Wang. Research on Infrared and LiDAR Calibration Algorithm for Road Scene[J]. Laser & Optoelectronics Progress, 2024, 61(14): 1428007

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Nov. 1, 2023

    Accepted: Dec. 21, 2023

    Published Online: Jul. 11, 2024

    The Author Email: Liao Jian (liaojian0911@163.com)

    DOI:10.3788/LOP232408

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology