Löhe K, Zehelein T, Roppenecker G (2016)
Publication Status: Published
Publication Type: Journal article, Original article
Publication year: 2016
Publisher: Korean Academy of Medical Science
Book Volume: 64
Pages Range: 355-364
Journal Issue: 5
This article introduces a concept for road quality estimation by autoregressive filtering for a two-axle vehicle. A Kalman-Filter is used for observing the road state. The unevenness power spectrum density of the road is calculated by autoregressive filtering. Therefore the road qualitiy can be found. Using this information in the Kalman-Filter adapts it to the actual road and improves the estimation quality. The concept is run on a quarter-car test rig. Experimental results are shown.
APA:
Löhe, K., Zehelein, T., & Roppenecker, G. (2016). Road quality estimation by autoregressive filtering for a two-axle vehicle. At-Automatisierungstechnik, 64(5), 355-364. https://doi.org/10.1515/auto-2016-0012
MLA:
Löhe, Klaus, Thomas Zehelein, and Günter Roppenecker. "Road quality estimation by autoregressive filtering for a two-axle vehicle." At-Automatisierungstechnik 64.5 (2016): 355-364.
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