Experimental Study of the Asphalt Concrete Entrucking Based on Machine Vision
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.
Robin G. Qiu and Yongfeng Ju
Y. B. Hu and 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