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        Improving Displacement Measurement for Evaluating Longitudinal Road Profiles

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        Onuorah_et_al_road_profiles_accepted_manuscript.pdf (PDF, 1Mb)
        Author
        Onuorah, Chinedum Anthony
        Hutton-Mckenzie, Angus
        Chaychian, Sara
        Sun, Yichuang
        Siau, Johann
        Attention
        2299/21150
        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.
        Publication date
        2018-05-01
        Published in
        IEEE Sensors Journal
        Published version
        https://doi.org/10.1109/JSEN.2018.2812787
        Other links
        http://hdl.handle.net/2299/21150
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