Title: Static boundary detection of rail transit vehicles based on reference coordinate system

Authors: Li-ning Dong; San-qing Su; Wei Wang; Yuanyuan Wang

Addresses: School of Architecture and Civil Engineering, Xi'an University of Science and Technology, Xi'an 710054, China ' School of Civil Engineering, Xi'an University of Architecture and Technology, Xi'an 710054, China ' School of Civil Engineering, Xi'an University of Architecture and Technology, Xi'an 710054, China ' Zhejiang Industry Polytechnic College, Shaoxing Zhejiang 312000, China

Abstract: Aiming at the problems of low accuracy and large relative error of traditional rail transit vehicle static boundary detection method, a method of rail transit vehicle static boundary detection based on reference coordinate system is proposed. The parametric equations of measuring points are obtained by mathematical model. The model and boundary are measured by establishing reference orbit coordinate system based on laser tracking. By using self-calibration multi-sensor system calibration and DGPS/IMU integrated processing, the internal and external bits of each binocular image are calculated, and the relative relations of each element in the stereo image are constructed. Combining with the vehicle boundary, the vehicle boundary parameters are calculated to realise the static boundary detection of rail transit vehicles. Experimental results show that this method can effectively improve the accuracy of vehicle boundary detection and reduce the relative error of vehicle boundary detection.

Keywords: reference coordinate system; rail transit vehicles; static boundary detection.

DOI: 10.1504/IJASS.2020.108676

International Journal of Applied Systemic Studies, 2020 Vol.9 No.1, pp.58 - 71

Received: 12 Mar 2019
Accepted: 13 Jan 2020
Published online: 24 Jul 2020 *

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