Laser & Optoelectronics Progress, Volume. 57, Issue 12, 121501(2020)

Research on P4P Algorithm Based on Quick Response Code Recognition

Hongwei Li1、* and Tao Xiong2
Author Affiliations
  • 1Maritime College, Guangdong Communication Polytechnic, Guangzhou, Guangdong 510800, China
  • 2Guangzhou Haige Communications Industry Group Co., Ltd., Guangzhou, Guangdong 510663, China
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    References(14)

    [1] Zhang Y, Zhu Z W. Study on AGV control system with two-dimensional code navigation[J]. Journal of Shandong Agricultural University(Natural Science Edition), 50, 441-444(2019).

    [3] Xu Q, Xu Z W, Du X F. Vision navigation AGV system based on QR code[J]. Transducer and Microsystem Technologies, 38, 83-86, 90(2019).

    [4] Wang J E, Xiao X Q. Mobile robot integrated navigation method based on QR code vision positioning[J]. Chinese Journal of Scientific Instrument, 39, 230-238(2018).

    [9] Wong K H, Yu Y K, Fung H Y et al. Robust and efficient pose tracking using perspective-four-point algorithm and Kalman filter. [C]∥2017 International Conference on Mechanical, System and Control Engineering, May 19-21, 2017, St. Petersburg, Russia. New York: IEEE, 240-244(2017).

    [14] Gao X, Zhang T et al[M]. Visual SLAM 14, 71-72(2018).

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    Hongwei Li, Tao Xiong. Research on P4P Algorithm Based on Quick Response Code Recognition[J]. Laser & Optoelectronics Progress, 2020, 57(12): 121501

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    Paper Information

    Category: Machine Vision

    Received: Oct. 8, 2019

    Accepted: Oct. 31, 2019

    Published Online: Jun. 3, 2020

    The Author Email: Li Hongwei (992461977@qq.com)

    DOI:10.3788/LOP57.121501

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