Paper Title:
Experimental Study of the Asphalt Concrete Entrucking Based on Machine Vision
  Abstract

The traditional process of asphalt concrete entrucking operation is analyzed, and the machine vision technology is applied to study the method of auto-entrucking. In experiment, the height and the repose angle of asphalt concrete stack in the van are detected through image processing and camera calibration, and their empirical expression is established by regression analysis to describe the variation rules of the repose angle. Also, some principal problems to be solved in the application are simply discussed. Finally, the stacks volume of three typical operating states are calculated, and the experimental results indicate that the relative error do not exceed 8.957%, which show that the proposed method can lay the basis for the model of stack volume and the displacement calculation of the truck further.

  Info
Periodical
Chapter
Chapter 5: Information Technology
Edited by
Robin G. Qiu and Yongfeng Ju
Pages
528-534
DOI
10.4028/www.scientific.net/AMM.135-136.528
Citation
Y. B. Hu, M. R. Tian, "Experimental Study of the Asphalt Concrete Entrucking Based on Machine Vision", Applied Mechanics and Materials, Vols. 135-136, pp. 528-534, 2012
Online since
October 2011
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Price
$32.00
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