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Path Segmentation Algorithm for Automatic Guided Vehicle Based on Machine Vision

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A novel path segmentation algorithm for automatic guided vehicle is designed by machine vision technology. Firstly, wiener filter based on parameter estimate is used to restore path image in HIS model. Secondly, mutivariate stepwise fitted regression method is adopted to smooth guide line edge of path image. It can be concluded that path guide line of automatic guided vehicle under industry surrounding may be recognized accurately through this way.

machine visionautomatic guidanceimage segmentationmultivariable stepwise regression

Yuan Zhang、Peng Wang、Jixiang Li、Shiwei Yin、Jinglei Xin

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Department of Mechanical & Power Engineering, Harbin Univ. of Sci. and Tech., Harbin, China, 150080

College of Automation, Harbin Univ. of Sci. and Tech., Harbin, China, 150080

Harbin ZhongQing Gas Lo.,Ltd., Harbin,China,150076

2010

Key engineering materials

Key engineering materials

ISSN:1013-9826
年,卷(期):2010.431/432
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