Road condition monitoring

Matti Kutila, Pasi Pyykönen, Johan Casselgren, Patrik Jonsson

Research output: Chapter in Book/Report/Conference proceedingChapter or book articleProfessional

Abstract

This article will not only focus on camera based technology and classification but also make a review considering the system called RoadEye. Casselgren et al. (2009) have performed exhaustive investigations concerning the changes of light intensity with varying incident angle and the spectrum of light when asphalt is covered with water, ice or snow with using wavelengths from 1,100 to 1,700 nm.
Original languageEnglish
Title of host publicationComputer Vision and Imaging in Intelligent Transportation Systems
PublisherWiley-Blackwell
Pages375-397
ISBN (Print)978-1118971604, 1118971604
Publication statusPublished - 2017
MoE publication typeD2 Article in professional manuals or guides or professional information systems or text book material

Fingerprint

Condition monitoring
Snow
Asphalt
Ice
Cameras
Wavelength
Water

Keywords

  • camera
  • ice
  • classification
  • ITS
  • adverse weather
  • measurement
  • sensor

Cite this

Kutila, M., Pyykönen, P., Casselgren, J., & Jonsson, P. (2017). Road condition monitoring. In Computer Vision and Imaging in Intelligent Transportation Systems (pp. 375-397). Wiley-Blackwell.
Kutila, Matti ; Pyykönen, Pasi ; Casselgren, Johan ; Jonsson, Patrik. / Road condition monitoring. Computer Vision and Imaging in Intelligent Transportation Systems. Wiley-Blackwell, 2017. pp. 375-397
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Kutila, M, Pyykönen, P, Casselgren, J & Jonsson, P 2017, Road condition monitoring. in Computer Vision and Imaging in Intelligent Transportation Systems. Wiley-Blackwell, pp. 375-397.

Road condition monitoring. / Kutila, Matti; Pyykönen, Pasi; Casselgren, Johan; Jonsson, Patrik.

Computer Vision and Imaging in Intelligent Transportation Systems. Wiley-Blackwell, 2017. p. 375-397.

Research output: Chapter in Book/Report/Conference proceedingChapter or book articleProfessional

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AU - Jonsson, Patrik

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N2 - This article will not only focus on camera based technology and classification but also make a review considering the system called RoadEye. Casselgren et al. (2009) have performed exhaustive investigations concerning the changes of light intensity with varying incident angle and the spectrum of light when asphalt is covered with water, ice or snow with using wavelengths from 1,100 to 1,700 nm.

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KW - ice

KW - classification

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KW - measurement

KW - sensor

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Kutila M, Pyykönen P, Casselgren J, Jonsson P. Road condition monitoring. In Computer Vision and Imaging in Intelligent Transportation Systems. Wiley-Blackwell. 2017. p. 375-397