Vision-based Method of Detecting Geometric Parameters of Railway Catenary

Abstract

Aiming at the need for dynamic and high-precision detection of railway catenary geometric parameters, a method of detecting geometrical parameters of catenary based on the principle of structured light vision is proposed in this paper. The structured light vision measurement system is adopted to obtain the geometric feature images of catenary, and the template matching method is used to obtain the detection points in the image, and then get the geometric parameters of the catenary. Line tests have been conducted on Xi’an Metro Line 1 and the Daxi High-speed Railway (Xi’an North Section) line extension. The results show that the vision-based detection method for geometric parameters of the catenary has high accuracy and stability, and has broad application prospects.