• Optoelectronic Technology
  • Vol. 43, Issue 2, 166 (2023)
Yunfeng DAI1, Yajie DING1, Xingming FENG1, Han WANG1, and Qinghua WANG2
Author Affiliations
  • 1Yancheng Power Supply Branch, State Grid Jiangsu Power Supply Co., Ltd, Yancheng Jiangsu 224000, CHN
  • 2Changzhou Zhongneng Power Technology Co., Ltd, Changzhou Jiangsu 13000, CHN
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    DOI: 10.19453/j.cnki.1005-488x.2023.02.010 Cite this Article
    Yunfeng DAI, Yajie DING, Xingming FENG, Han WANG, Qinghua WANG. Calibration Method of Lidar and Visible Light Camera Based on EPnP Algorithm[J]. Optoelectronic Technology, 2023, 43(2): 166 Copy Citation Text show less
    References

    [3] Zhen W, Hu Y, Liu J et al. A joint optimization approach of LiDAR-camera fusion for accurate dense 3-D reconstructions[J]. IEEE Robotics and Automation Letters, 4, 3585-3592(2019).

    [7] Yao Y, Huang X, Lv J. A space joint calibration method for lidar and camera on self-driving car and its experimental verification[C], 388-394(2021).

    [9] Ge J, Liu C, Lv L et al. LiDAR and camera calibration using near-far dual targets[C], 382-386(2021).

    [12] Fischler M A, Bolles R C. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography[J]. Communications of the ACM, 24, 381-395(1981).

    [15] Lepetit V, Moreno-Noguer F, Fua P. EPnP: Efficient perspective-n-point camera pose estimation[J]. International Journal of Computer Vision, 81, 155-166(2009).

    Yunfeng DAI, Yajie DING, Xingming FENG, Han WANG, Qinghua WANG. Calibration Method of Lidar and Visible Light Camera Based on EPnP Algorithm[J]. Optoelectronic Technology, 2023, 43(2): 166
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