Skip to main navigation Skip to search Skip to main content

Automatic road condition assessment by using point laser sensor

  • Wenda Li
  • , Michael Burrow
  • , Zijun Li

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Abstract

    The assessment of road condition periodically is essential to enable road authorities to provide cost-effective and preventative road maintenance. An increasingly popular approach is to use a scanning laser to acquire surface condition data from a vehicle moving at normal traffic speeds. However, due to the high-density of received data such data collection systems usually are designed with off-line processing. This increases the system cost as a large storage device is required and limits the potential application of the approach. In this paper, we present a robust approach for road assessment which uses point lasers that output low-density 1D scanning data from the road surface and can be processed in real-time allied to a low-complexity signal processing algorithm to assess the road condition data. The experimental results indicate that the point laser and proposed concepts together provide a reliable and adequate means of road condition assessment compared with an approach which uses the scanning laser. © 2018 IEEE.
    Original languageEnglish
    Title of host publicationProceedings of 17th IEEE Sensors Conference 2018
    PublisherIEEE
    Number of pages4
    Volume2018-October
    ISBN (Print)9781538647073
    DOIs
    Publication statusPublished - Oct 2018
    Event17th IEEE Sensors Conference 2018 - Pullman Aeorcity, New Delhi, India
    Duration: 28 Oct 2018 → 31 Oct 2018

    Conference

    Conference17th IEEE Sensors Conference 2018
    Abbreviated titleSENSORS 2018
    Country/TerritoryIndia
    CityNew Delhi
    Period28/10/18 → 31/10/18

    Fingerprint

    Dive into the research topics of 'Automatic road condition assessment by using point laser sensor'. Together they form a unique fingerprint.

    Cite this