Utilization of Optical Road Surface Condition Detection around Intersections

Matti Kutila; Maria Jokela; Bernd Rösslern; Jürgen Weingart

doi:10.1007/978-3-642-00745-3_9

Utilization of Optical Road Surface Condition Detection around Intersections

Matti Kutila
, Maria Jokela
, Bernd Rösslern
, Jürgen Weingart

Ibeo Automotive Systems GmbH

Research output: Chapter in Book/Report/Conference proceeding › Chapter or book article › Scientific › peer-review

4 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 language	English
Title of host publication	Advanced Microsystems for Automotive Applications 2009
Subtitle of host publication	Smart Systems for Safety, Sustainability, and Comfort
Editors	Gereon Meyer, Jürgen Valldorf, Wolfgang Gessner
Place of Publication	Berlin
Publisher	Springer
Pages	109-127
ISBN (Electronic)	978-3-642-00745-3
ISBN (Print)	978-3-642-00744-6
DOIs	https://doi.org/10.1007/978-3-642-00745-3_9
Publication status	Published - 2009
MoE publication type	A3 Part of a book or another research book

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 11 Sustainable Cities and Communities

Keywords

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

Access to Document

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

Cite this

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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",

}

Utilization of Optical Road Surface Condition Detection around Intersections. / Kutila, Matti ; Jokela, Maria; Rösslern, Bernd et al.
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 proceeding › Chapter or book article › Scientific › peer-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 -

Utilization of Optical Road Surface Condition Detection around Intersections

Abstract

UN SDGs

Keywords

Access to Document

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Cite this