Utilization of Optical Road Surface Condition Detection around Intersections

Matti Kutila, Maria Jokela, Bernd Rösslern, Jürgen Weingart

Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

2 Citations (Scopus)

Abstract

This paper presents experimental results regarding road condition monitoring by machine vision techniques. The system will be further developed by VTT in the European INTERSAFE-2 project, focused on applications at road intersections. Knowing the presence of adverse conditions such as icy or wet roads, important effects can be obtained for intersection safety by means of more effective driver assistance functions. A very good reliability up to 93% has been found for the detection of icy roads, while lower values around 60% have been measured in the case of wet surfaces, due to a higher sensitivity to environmental conditions, especially outdoor light. Future steps will include an advanced classification algorithm and the implementation of active lighting. Integration of the vision equipment into a cooperative system for intersection safety is being investigated.
Original languageEnglish
Title of host publicationAdvanced Microsystems for Automotive Applications 2009
Subtitle of host publicationSmart Systems for Safety, Sustainability, and Comfort
EditorsGereon Meyer, Jürgen Valldorf, Wolfgang Gessner
Place of PublicationBerlin
PublisherSpringer
Pages109-127
ISBN (Electronic)978-3-642-00745-3
ISBN (Print)978-3-642-00744-6
DOIs
Publication statusPublished - 2009
MoE publication typeA3 Part of a book or another research book

Fingerprint

Condition monitoring
Computer vision
Lighting

Keywords

  • camera
  • machine vision
  • traffic safety
  • intersection
  • co-operative traffic
  • road condition
  • ice
  • water
  • snow

Cite this

Kutila, M., Jokela, M., Rösslern, B., & Weingart, J. (2009). Utilization of Optical Road Surface Condition Detection around Intersections. In G. Meyer, J. Valldorf, & W. Gessner (Eds.), Advanced Microsystems for Automotive Applications 2009: Smart Systems for Safety, Sustainability, and Comfort (pp. 109-127). Berlin: Springer. https://doi.org/10.1007/978-3-642-00745-3_9
Kutila, Matti ; Jokela, Maria ; Rösslern, Bernd ; Weingart, Jürgen. / Utilization of Optical Road Surface Condition Detection around Intersections. Advanced Microsystems for Automotive Applications 2009: Smart Systems for Safety, Sustainability, and Comfort. editor / Gereon Meyer ; Jürgen Valldorf ; Wolfgang Gessner. Berlin : Springer, 2009. pp. 109-127
@inbook{6baf8fc350df4aaabb020395d9f775b2,
title = "Utilization of Optical Road Surface Condition Detection around Intersections",
abstract = "This paper presents experimental results regarding road condition monitoring by machine vision techniques. The system will be further developed by VTT in the European INTERSAFE-2 project, focused on applications at road intersections. Knowing the presence of adverse conditions such as icy or wet roads, important effects can be obtained for intersection safety by means of more effective driver assistance functions. A very good reliability up to 93{\%} has been found for the detection of icy roads, while lower values around 60{\%} have been measured in the case of wet surfaces, due to a higher sensitivity to environmental conditions, especially outdoor light. Future steps will include an advanced classification algorithm and the implementation of active lighting. Integration of the vision equipment into a cooperative system for intersection safety is being investigated.",
keywords = "camera, machine vision, traffic safety, intersection, co-operative traffic, road condition, ice, water, snow",
author = "Matti Kutila and Maria Jokela and Bernd R{\"o}sslern and J{\"u}rgen Weingart",
note = "Project code: 23161",
year = "2009",
doi = "10.1007/978-3-642-00745-3_9",
language = "English",
isbn = "978-3-642-00744-6",
pages = "109--127",
editor = "Gereon Meyer and J{\"u}rgen Valldorf and Wolfgang Gessner",
booktitle = "Advanced Microsystems for Automotive Applications 2009",
publisher = "Springer",
address = "Germany",

}

Kutila, M, Jokela, M, Rösslern, B & Weingart, J 2009, Utilization of Optical Road Surface Condition Detection around Intersections. in G Meyer, J Valldorf & W Gessner (eds), Advanced Microsystems for Automotive Applications 2009: Smart Systems for Safety, Sustainability, and Comfort. Springer, Berlin, pp. 109-127. https://doi.org/10.1007/978-3-642-00745-3_9

Utilization of Optical Road Surface Condition Detection around Intersections. / Kutila, Matti; Jokela, Maria; Rösslern, Bernd; Weingart, Jürgen.

Advanced Microsystems for Automotive Applications 2009: Smart Systems for Safety, Sustainability, and Comfort. ed. / Gereon Meyer; Jürgen Valldorf; Wolfgang Gessner. Berlin : Springer, 2009. p. 109-127.

Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

TY - CHAP

T1 - Utilization of Optical Road Surface Condition Detection around Intersections

AU - Kutila, Matti

AU - Jokela, Maria

AU - Rösslern, Bernd

AU - Weingart, Jürgen

N1 - Project code: 23161

PY - 2009

Y1 - 2009

N2 - This paper presents experimental results regarding road condition monitoring by machine vision techniques. The system will be further developed by VTT in the European INTERSAFE-2 project, focused on applications at road intersections. Knowing the presence of adverse conditions such as icy or wet roads, important effects can be obtained for intersection safety by means of more effective driver assistance functions. A very good reliability up to 93% has been found for the detection of icy roads, while lower values around 60% have been measured in the case of wet surfaces, due to a higher sensitivity to environmental conditions, especially outdoor light. Future steps will include an advanced classification algorithm and the implementation of active lighting. Integration of the vision equipment into a cooperative system for intersection safety is being investigated.

AB - This paper presents experimental results regarding road condition monitoring by machine vision techniques. The system will be further developed by VTT in the European INTERSAFE-2 project, focused on applications at road intersections. Knowing the presence of adverse conditions such as icy or wet roads, important effects can be obtained for intersection safety by means of more effective driver assistance functions. A very good reliability up to 93% has been found for the detection of icy roads, while lower values around 60% have been measured in the case of wet surfaces, due to a higher sensitivity to environmental conditions, especially outdoor light. Future steps will include an advanced classification algorithm and the implementation of active lighting. Integration of the vision equipment into a cooperative system for intersection safety is being investigated.

KW - camera

KW - machine vision

KW - traffic safety

KW - intersection

KW - co-operative traffic

KW - road condition

KW - ice

KW - water

KW - snow

U2 - 10.1007/978-3-642-00745-3_9

DO - 10.1007/978-3-642-00745-3_9

M3 - Chapter or book article

SN - 978-3-642-00744-6

SP - 109

EP - 127

BT - Advanced Microsystems for Automotive Applications 2009

A2 - Meyer, Gereon

A2 - Valldorf, Jürgen

A2 - Gessner, Wolfgang

PB - Springer

CY - Berlin

ER -

Kutila M, Jokela M, Rösslern B, Weingart J. Utilization of Optical Road Surface Condition Detection around Intersections. In Meyer G, Valldorf J, Gessner W, editors, Advanced Microsystems for Automotive Applications 2009: Smart Systems for Safety, Sustainability, and Comfort. Berlin: Springer. 2009. p. 109-127 https://doi.org/10.1007/978-3-642-00745-3_9