Comparison of Time Warping Algorithms for Rail Vehicle Velocity Estimation in Low Speed Scenarios
| Autor: | Stefan Hensel, Marin B. Marinov |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
dynamic programming
Dynamic time warping Cross-correlation eddy current sensors Computer science Velocity estimation lcsh:T 010401 analytical chemistry 030206 dentistry cross-correlation 01 natural sciences lcsh:Technology 0104 chemical sciences Dynamic programming 03 medical and health sciences 0302 clinical medicine Low speed velocity estimation Algorithm Simulation |
| Zdroj: | Metrology and Measurement Systems, Vol 24, Iss 1, Pp 161-173 (2017) |
| ISSN: | 2300-1941 |
| Popis: | Precise measurement of rail vehicle velocities is an essential prerequisite for the implementation of modern train control systems and the improvement of transportation capacity and logistics. Novel eddy current sensor systems make it possible to estimate velocity by using cross-correlation techniques, which show a decline in precision in areas of high accelerations. This is due to signal distortions within the correlation interval. We propose to overcome these problems by employing algorithms from the field of dynamic programming. In this paper we evaluate the application of correlation optimized warping, an enhanced version of dynamic time warping algorithms, and compare it with the classical algorithm for estimating rail vehicle velocities in areas of high accelerations and decelerations. |
| Databáze: | OpenAIRE |
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