Optimization of dynamic envelope measurement system for high speed train based on monocular vision

Bin Wu; Changjie Liu; Luhua Fu; Zhong Wang

doi:10.1117/12.2295363

12 January 2018 Optimization of dynamic envelope measurement system for high speed train based on monocular vision

Bin Wu, Changjie Liu, Luhua Fu, Zhong Wang

Proceedings Volume 10621, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems; 106211Q (2018) https://doi.org/10.1117/12.2295363
Event: International Conference on Optical Instruments and Technology 2017, 2017, Beijing, China

Abstract

The definition of dynamic envelope curve is the maximum limit outline caused by various adverse effects during the running process of the train. It is an important base of making railway boundaries. At present, the measurement work of dynamic envelope curve of high-speed vehicle is mainly achieved by the way of binocular vision. There are some problems of the present measuring system like poor portability, complicated process and high cost. A new measurement system based on the monocular vision measurement theory and the analysis on the test environment is designed and the measurement system parameters, the calibration of camera with wide field of view, the calibration of the laser plane are designed and optimized in this paper. The accuracy has been verified to be up to 2mm by repeated tests and experimental data analysis. The feasibility and the adaptability of the measurement system is validated. There are some advantages of the system like lower cost, a simpler measurement and data processing process, more reliable data. And the system needs no matching algorithm.

Citation Download Citation

Bin Wu, Changjie Liu, Luhua Fu, and Zhong Wang "Optimization of dynamic envelope measurement system for high speed train based on monocular vision", Proc. SPIE 10621, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems, 106211Q (12 January 2018); https://doi.org/10.1117/12.2295363

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