Improving Displacement Measurement for Evaluating Longitudinal Road Profiles

Chinedum Anthony Onuorah, Angus Hutton-Mckenzie, Sara Chaychian, Yichuang Sun, Johann Siau

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
79 Downloads (Pure)

Abstract

This paper introduces a half-wavelength peak matching (HWPM) model, which improves the accuracy of vehicle based longitudinal road profilers used in evaluating road unevenness and mega-textures. In this application, the HWPM model is designed for profilers which utilize a laser displacement sensor with an accelerometer for detecting surface irregularities. The process of converting acceleration to displacement by double integration (which is used in most rofilers) is error-prone, and although there are techniques to minimize the effect of this error, this paper proposes a novel approach for improving the generated road profile results. The technique amends the vertical displacement derived from the accelerometer samples, by using data from the laser displacement sensor as a reference. The vehicle based profiler developed for this experiment (which uses the HWPM model) shows a huge improvement in detected longitudinal irregularities when compared with pre-processed results, and uses a 3-m rolling straight edge as a benchmark.

Original languageEnglish
Pages (from-to)3767-3779
Number of pages13
JournalIEEE Sensors Journal
Volume18
Issue number9
Early online date6 Mar 2018
DOIs
Publication statusPublished - 1 May 2018

Keywords

  • Accelerometer
  • displacement
  • integration error
  • laser displacement sensor

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