Road quality estimation by autoregressive filtering for a two-axle vehicle

Löhe K, Zehelein T, Roppenecker G (2016)

Publication Status: Published

Publication Type: Journal article, Original article

Publication year: 2016

Journal

At-Automatisierungstechnik Oldenbourg Verlag

Publisher: Korean Academy of Medical Science

Book Volume: 64

Pages Range: 355-364

Journal Issue: 5

DOI: 10.1515/auto-2016-0012

Abstract

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.

Authors with CRIS profile

Klaus Löhe Chair of Automatic Control Günter Roppenecker Chair of Automatic Control

Involved external institutions

Technische Universität München (TUM) DE Germany (DE)

How to cite

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://dx.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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