• Acta Photonica Sinica
  • Vol. 50, Issue 3, 1 (2021)
Yu LU, Weiji HE, Miao WU, Guohua GU, and Qian CHEN
Author Affiliations
  • School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing210094, China
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    DOI: 10.3788/gzxb20215003.0311001 Cite this Article
    Yu LU, Weiji HE, Miao WU, Guohua GU, Qian CHEN. Time-correlated Kalman Depth Estimation of Photon-counting Lidar[J]. Acta Photonica Sinica, 2021, 50(3): 1 Copy Citation Text show less
    The aggregation effect of photon counting events on the time axis
    Fig. 1. The aggregation effect of photon counting events on the time axis
    Algorithm flow diagram
    Fig. 2. Algorithm flow diagram
    Real depth and intensity image of scene, and two groups of comparative experiments in the case of 10 ms and 1 ms integration time
    Fig. 3. Real depth and intensity image of scene, and two groups of comparative experiments in the case of 10 ms and 1 ms integration time
    Schematic diagram of long range lidar prototype
    Fig. 4. Schematic diagram of long range lidar prototype
    Original depth image of 2 km building
    Fig. 5. Original depth image of 2 km building
    2 km building imaging with different data volume imaging effect map
    Fig. 6. 2 km building imaging with different data volume imaging effect map
    Depth image and three-dimensional point cloud image of 1 km power tower target
    Fig. 7. Depth image and three-dimensional point cloud image of 1 km power tower target
    RMSE/mOptimization rate
    (b)0.018 340.0%
    (c)0.011 0
    (e)0.065 638.1%
    (f)0.038 3
    Table 1. RMSE comparison of output image
    Yu LU, Weiji HE, Miao WU, Guohua GU, Qian CHEN. Time-correlated Kalman Depth Estimation of Photon-counting Lidar[J]. Acta Photonica Sinica, 2021, 50(3): 1
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