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Chin. Phys. B, 2021, Vol. 30(4): 044206    DOI: 10.1088/1674-1056/abcf42
ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS Prev   Next  

A scanning distortion correction method based on X- Y galvanometer Lidar system

Bao-Ling Qi(漆保凌), Chun-Hui Wang(王春晖), Dong-Bing Guo(郭东兵), and Bin Zhang(张斌)
1 Key Laboratory of Tunable Laser Technology, Harbin Institute of Technology, Harbin 150001, China
Abstract  \baselineskip=12pt plus.2pt minus.2pt Aiming at the problem of scanning distortion in X-Y galvanometer light detecting and ranging (Lidar) scanning system, we propose a method of image scanning distortion correction with controllable driving voltage compensation. Firstly, the geometrical optics vectors model is established to explain the principle of pincushion distortion in the galvanometer scanning system, and the simulation result of scanning trajectory is consistent with experiments. The linear relationship between the driving voltage and the scanning angle of the galvanometer is verified. Secondly, the relationship between the deflection angle of the galvanometer and the scanning trajectory and the driving voltage is deduced respectively, and an image scanning correction algorithm with controllable driving voltage compensation is obtained. The simulation experiment results of the proposed method show that the root-mean-square error (RMSE) and the corresponding curve between the scan value and the actual value at different distances, have a good correction effect for the pincushion distortion. Finally, the X-Y galvanometer scanning Lidar system is established to obtain undistorted two-dimensional scanned image and it can be applied to the three-dimensional Lidar scanning system in the actual experiments, which further demonstrates the feasibility and practicability of our method.
Keywords:  Lidar      laser scanning      optical vector model      image scanning  
Received:  28 August 2020      Revised:  09 November 2020      Accepted manuscript online:  01 December 2020
PACS:  42.68.Wt (Remote sensing; LIDAR and adaptive systems)  
  42.55.-f (Lasers)  
  11.90.+t (Other topics in general theory of fields and particles)  
  42.30.-d (Imaging and optical processing)  
Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 61775048 and 62027823) and the Natural Science Foundation of Shenzhen (Grant No. JCYJ2020109150808037).
Corresponding Authors:  Corresponding author. E-mail: wangch_hit@163.com   

Cite this article: 

Bao-Ling Qi(漆保凌), Chun-Hui Wang(王春晖), Dong-Bing Guo(郭东兵), and Bin Zhang(张斌) A scanning distortion correction method based on X- Y galvanometer Lidar system 2021 Chin. Phys. B 30 044206

1 McManamon and Paul F 2012 Opt. Eng. 51 060901
2 Du J, Ren D M, Zhao W J, Qu Y C, Chen Z L and Geng L J 2013 Chin. Phys. B 22 024211
3 Sun G D, Qin L A, Hou Z H, Xu J, He F, Tan F F, Zhang S L and Zhang S C 2019 Chin. Phys. B 28 024213
4 Price O F and Gordon C E 2016 J. Environ. Manage. 181 663
5 Adam C, Eric L K and Philip A T 2020 Remote Sens. Environ. 250 112043
6 Mao Y X, Flueraru C, Sherif S and Chang S D 2009 Opt. Commun. 282 88
7 Mcmanamon P F, Banks P S, Beck J D, Fried D G and Waston E A 2017 Opt. Eng. 56 031223
8 Moritz B, Andreas R, Michael E S and Morsdorf F 2017 Remote. Sens. Environ. 196 28
9 Xu X K, Liu B G, Chen F D, Hu T, Lu C and Gan Y 2017 Opt. Commun. 386 57
10 Awkward R P 2003 Sens. Rev. 23 216
11 Batal A, Michalek A, Penchev P, Kupisiewicz A and Dimov S 2020 Int. J. Mach. Tools Manuf. 156 103593
12 Yoo H W, Ito S and Schitter G 2016 Control. Eng. Practice 50 12
13 Li Y X, Cui T X, Li Q Y, Zhang B, Bai Y R and Wang C H 2019 Optik 181 555
14 Hayakawa T and Ishikawa M 2017 SPIE LASE 10085 100850Z
15 Delgado M A O, Lasagni A F 2016 Opt. Lasers Eng. 86 106
16 Duma V F 2019 Appl. Math. Model. 67 456
17 Petr P 2014 Appl. Opt. 53 2730
18 Wang Y F, Zhang J, Tang L, Wang Q, Gao T L, Song Y H, Di H G, Li B and Hua D X 2018 Acta Phys. Sin. 67 224205 (in Chinese)
19 Madeline H, Calum M A, Pierre L and Lee A M D 2018 Opt. Express 26 18758
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