Path Segmentation Algorithm for Automatic Guided Vehicle Based on Machine Vision

Abstract:

Article Preview

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.

Info:

Periodical:

Key Engineering Materials (Volumes 431-432)

Edited by:

Yingxue Yao, Dunwen Zuo and Xipeng Xu

Pages:

330-333

DOI:

10.4028/www.scientific.net/KEM.431-432.330

Citation:

Y. Zhang et al., "Path Segmentation Algorithm for Automatic Guided Vehicle Based on Machine Vision", Key Engineering Materials, Vols. 431-432, pp. 330-333, 2010

Online since:

March 2010

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Price:

$35.00

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