Research on key algorithm of intelligent identification for refueling robot

Abstract

Refueling robot to complete the refueling can effectively improve gas station efficiency, reduce pollution and save labor costs. In this paper, a brief description of the main functional sequence in fueling robots is given. The design adopts the machine vision technology to locate the fuel tank port intelligently. Based on binocular vision-based positioning and recognition strategy, two cameras are used to capture the target image, the feature points are matched by SIFT algorithm, and the image coordinates of the same three-dimensional point on different images are obtained by wavelet mutual information registration. Finally, the corresponding position and posture parameters are identified and the fuel cap is positioned, which provides the parameter basis for the driving and controlling of the refueling robot.