• Laser & Optoelectronics Progress
  • Vol. 59, Issue 4, 0401001 (2022)
Zhumao Lu1, Na Wu1, Yaning Zhao1, Yang Bai1, Yu Han1, and Haiyue Gao2、*
Author Affiliations
  • 1Electric Power Research Institute of Shanxi Electric Power Company, State Grid, Taiyuan , Shanxi 030001, China
  • 2North China Electric Power University (Baoding), Baoding , Hebei 071003, China
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    DOI: 10.3788/LOP202259.0401001 Cite this Article Set citation alerts
    Zhumao Lu, Na Wu, Yaning Zhao, Yang Bai, Yu Han, Haiyue Gao. Location of Unmanned Aerial Vehicle Based on Lidar Near Electric Tower[J]. Laser & Optoelectronics Progress, 2022, 59(4): 0401001 Copy Citation Text show less
    References

    [1] Zhang Z P. Design and implementation of UAV autonomous inspection system for power pole tower[D](2020).

    [2] Xing Z G, Wan H Y. Application of multi-rotor UAV in electric transmission line routing inspection[J]. Heilongjiang Science, 11, 116-117(2020).

    [3] Xie X L, Chen S J, Zhong W et al. Intelligent inspection technology and application of UAV in distribution network[J]. Environmental Technology, 38, 34-37(2020).

    [4] Liu Q, Duan F H, Sang Y et al. A survey of loop-closure detection method of visual SLAM in complex environments[J]. Robot, 41, 112-123, 136(2019).

    [5] Chen W, Wu T, Li Z et al. A monocular vision SLAM algorithm based on particle filter[J]. Robot, 30, 242-247, 253(2008).

    [6] Zhang Y, Ren G Q, Cheng Z Y et al. Application research of there-dimensional LiDAR in unmanned vehicle environment perception[J]. Laser & Optoelectronics Progress, 56, 130001(2019).

    [7] Qian Q S, Hu Y H, Zhao N X et al. Object tracking algorithm based on global feature matching processing of laser point cloud[J]. Laser & Optoelectronics Progress, 57, 061012(2020).

    [8] Wang P, Zhu R Z, Sun C K. Point cloud coarse registration algorithm with scene classification based on improved RANSAC[J]. Laser & Optoelectronics Progress, 57, 041510(2020).

    [9] Lu S D, Tu M Y, Luo X Y et al. Laser SLAM pose optimization algorithm based on graph optimization theory and GNSS[J]. Laser & Optoelectronics Progress, 57, 081024(2020).

    [10] Li P, Wang R S, Wang Y X et al. Evaluation of the ICP algorithm in 3D point cloud registration[J]. IEEE Access, 8, 68030-68048(2020).

    [11] Biber P, Strasser W. The normal distributions transform: a new approach to laser scan matching[C], 2743-2748(2003).

    [12] Zhang J, Singh S. Low-drift and real-time lidar odometry and mapping[J]. Autonomous Robots, 41, 401-416(2017).

    [13] Zhang J, Singh S. Visual-lidar odometry and mapping: low-drift, robust, and fast[C], 2174-2181(2015).

    [14] Pandey G, Savarese S, McBride J R et al. Visually bootstrapped generalized ICP[C], 2660-2667(2011).

    [15] Bogoslavskyi I, Stachniss C. Fast range image-based segmentation of sparse 3D laser scans for online operation[C], 163-169(2016).

    [16] Shan T X, Englot B. LeGO-LOAM: lightweight and ground-optimized lidar odometry and mapping on variable terrain[C], 4758-4765(2018).

    [17] Wen G C, Zeng B, Chen Y H. Loop closure detection method for large scale map of laser SLAM[J]. Application Research of Computers, 35, 1724-1727, 1732(2018).

    Zhumao Lu, Na Wu, Yaning Zhao, Yang Bai, Yu Han, Haiyue Gao. Location of Unmanned Aerial Vehicle Based on Lidar Near Electric Tower[J]. Laser & Optoelectronics Progress, 2022, 59(4): 0401001
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