Path Segmentation Algorithm for Automatic Guided Vehicle Based on Machine Vision

Yuan Zhang; Peng Wang; Ji Xiang Li; Shi Wei Yin; Jing Lei Xin

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

Paper Titles

Optimization Design Method of High Speed Milling Cutter Based on Axiomatic Design
p.314

Modeling of Polishing Pad Wear in Chemical Mechanical Polishing
p.318

The Experiment Research of Precision Grinding of Li-Ti Ferrite with Graphite Grinding Wheel
p.322

Surface/Subsurface Damage of Yttria Partially Stabilized Zirconia in Grinding Using Monolayer Brazed Diamond Wheel
p.326

Path Segmentation Algorithm for Automatic Guided Vehicle Based on Machine Vision
p.330

Experimental Study on the Effect of Cold Air Cutting on Cutting Temperature, Cutting Force and Tool Wear during Machinging of Cr12 Tool Steel
p.334

Finite Element Simulation of Residual Stress on the Surface in the Cutting Considering Tool Flank Wear
p.338

Analysis of Cutting-Press Compound Shaping Fin Structure
p.342

Surface Roughness Model for Helical Milling of Die-Steel Based on Response Surface Methodology
p.346

HomeKey Engineering MaterialsKey Engineering Materials Vols. 431-432Path Segmentation Algorithm for Automatic Guided...

Path Segmentation Algorithm for Automatic Guided Vehicle Based on Machine Vision

Abstract:

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.