Road Condition Monitoring System Based on a Stereo Camera

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

34 Citations (Scopus)

Abstract

The paper presents a method and evaluation results to monitor and detect road conditions (ice, water, snow and dry asphalt). The developed device bases on light polarization changes when reflected from road surface. The recognition capability has been improved with texture analysis which estimates contrast content of an image. Test drives were performed with a vehicle quipped also with a commercial solution from Vaisala which was used as the reference sensor. The results show that the proposed solution does not currently adapt to different conditions perfectly well. Therefore, further development targets have been identified to include not only more adjustable classifier but externally lighting to stabilizing ambient illumination.
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationIEEE 5th International Conference on Intelligent Computer Communication and Processing, ICCP 2009
Place of PublicationPiscataway, NJ, USA
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages423-428
ISBN (Print)978-1-4244-5007-7
DOIs
Publication statusPublished - 2009
MoE publication typeA4 Article in a conference publication
EventIEEE 5th International Conference on Intelligent Computer Communication and Processing, ICCP 2009 - Cluj-Napoca, Romania
Duration: 27 Aug 200929 Aug 2009

Conference

ConferenceIEEE 5th International Conference on Intelligent Computer Communication and Processing, ICCP 2009
Abbreviated titleICCP 2009
CountryRomania
CityCluj-Napoca
Period27/08/0929/08/09

Fingerprint

Condition monitoring
Lighting
Cameras
Light polarization
Snow
Asphalt
Ice
Classifiers
Textures
Sensors
Water

Keywords

  • machine vision
  • road monitoring
  • ice
  • water
  • asphalt
  • polarisation
  • camera
  • co-operative traffic
  • V21

Cite this

Jokela, M., Kutila, M., & Long, L. (2009). Road Condition Monitoring System Based on a Stereo Camera. In Proceedings: IEEE 5th International Conference on Intelligent Computer Communication and Processing, ICCP 2009 (pp. 423-428). Piscataway, NJ, USA: Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/ICCP.2009.5284724
Jokela, Maria ; Kutila, Matti ; Long, Le. / Road Condition Monitoring System Based on a Stereo Camera. Proceedings: IEEE 5th International Conference on Intelligent Computer Communication and Processing, ICCP 2009. Piscataway, NJ, USA : Institute of Electrical and Electronic Engineers IEEE, 2009. pp. 423-428
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title = "Road Condition Monitoring System Based on a Stereo Camera",
abstract = "The paper presents a method and evaluation results to monitor and detect road conditions (ice, water, snow and dry asphalt). The developed device bases on light polarization changes when reflected from road surface. The recognition capability has been improved with texture analysis which estimates contrast content of an image. Test drives were performed with a vehicle quipped also with a commercial solution from Vaisala which was used as the reference sensor. The results show that the proposed solution does not currently adapt to different conditions perfectly well. Therefore, further development targets have been identified to include not only more adjustable classifier but externally lighting to stabilizing ambient illumination.",
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Jokela, M, Kutila, M & Long, L 2009, Road Condition Monitoring System Based on a Stereo Camera. in Proceedings: IEEE 5th International Conference on Intelligent Computer Communication and Processing, ICCP 2009. Institute of Electrical and Electronic Engineers IEEE, Piscataway, NJ, USA, pp. 423-428, IEEE 5th International Conference on Intelligent Computer Communication and Processing, ICCP 2009, Cluj-Napoca, Romania, 27/08/09. https://doi.org/10.1109/ICCP.2009.5284724

Road Condition Monitoring System Based on a Stereo Camera. / Jokela, Maria; Kutila, Matti; Long, Le.

Proceedings: IEEE 5th International Conference on Intelligent Computer Communication and Processing, ICCP 2009. Piscataway, NJ, USA : Institute of Electrical and Electronic Engineers IEEE, 2009. p. 423-428.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

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AU - Jokela, Maria

AU - Kutila, Matti

AU - Long, Le

N1 - Project code: 23161

PY - 2009

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N2 - The paper presents a method and evaluation results to monitor and detect road conditions (ice, water, snow and dry asphalt). The developed device bases on light polarization changes when reflected from road surface. The recognition capability has been improved with texture analysis which estimates contrast content of an image. Test drives were performed with a vehicle quipped also with a commercial solution from Vaisala which was used as the reference sensor. The results show that the proposed solution does not currently adapt to different conditions perfectly well. Therefore, further development targets have been identified to include not only more adjustable classifier but externally lighting to stabilizing ambient illumination.

AB - The paper presents a method and evaluation results to monitor and detect road conditions (ice, water, snow and dry asphalt). The developed device bases on light polarization changes when reflected from road surface. The recognition capability has been improved with texture analysis which estimates contrast content of an image. Test drives were performed with a vehicle quipped also with a commercial solution from Vaisala which was used as the reference sensor. The results show that the proposed solution does not currently adapt to different conditions perfectly well. Therefore, further development targets have been identified to include not only more adjustable classifier but externally lighting to stabilizing ambient illumination.

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KW - water

KW - asphalt

KW - polarisation

KW - camera

KW - co-operative traffic

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Jokela M, Kutila M, Long L. Road Condition Monitoring System Based on a Stereo Camera. In Proceedings: IEEE 5th International Conference on Intelligent Computer Communication and Processing, ICCP 2009. Piscataway, NJ, USA: Institute of Electrical and Electronic Engineers IEEE. 2009. p. 423-428 https://doi.org/10.1109/ICCP.2009.5284724