The Research on AGV Visual Guided Under Strong Noise

  • Xiaohong Zhang
  • Yifan YangEmail author
  • Wanli Xing
  • Hong Zhang
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 875)


In this paper, considering the complexity of AGV working environment, the image filtering, segmentation and graph morphology processing are carried out for the high noise of AGV working environment. To solve the problem of uneven light in the process of AGV travel, a dynamic threshold transfer and segmentation method is proposed, which greatly improves the accuracy and efficiency of the segmentation. At the same time, after extracting the morphological gradient of the marking line, the whole inspection method of image acquisition and the label processing of the boundary are established, and a one-sided fast center line searching algorithm is proposed. Compared with the traditional algorithm, the computation cost is reduced by more than 50%.


Visual navigation AGV Strong noise Fast dynamic threshold Morphological filtering Center line extraction 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Xiaohong Zhang
    • 1
  • Yifan Yang
    • 2
    Email author
  • Wanli Xing
    • 2
  • Hong Zhang
    • 2
  1. 1.Luoyang Institute of Electro-Optical DevicesLuoyangChina
  2. 2.Image Processing CenterBeihang UniversityBeijingChina

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