Optical road monitoring of the future smart roads – preliminary results

Maria Jokela, Matti Kutila, Jukka Laitinen, Florian Ahlers, Nicolas Hautière, Tobias Schendzielorz

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

Abstract

It has been shown that in most accidents the driver is responsible due to being distracted or misjudging the situation. In order to solve such problems research has been dedicated to developing driver assistance systems that are able to monitor the traffic situation around the vehicle. This paper presents methods for recognizing several circumstances on a road. The methods use both the in-vehicle warning systems and the roadside infrastructure. Preliminary evaluation results for fog and ice-on-road detection are presented. The ice detection results are based on data recorded in a test track dedicated to tyre friction testing. The achieved results anticipate that ice detection could work at a performance of 70% detection with the right setup, which is a good foundation for implementation. However, the full benefit of the presented co-operative system is achieved by fusing the outputs of multiple data sources, which is the key point of discussion behind this publication.
Original languageEnglish
Title of host publicationProceedings of World Academy of Science, Engineering and Technology
Pages384-389
Publication statusPublished - 2007
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Computer, Electrical, and Systems Science, and Engineering, CESSE 2007 - Berlin, Germany
Duration: 24 Aug 200728 Aug 2007

Conference

ConferenceInternational Conference on Computer, Electrical, and Systems Science, and Engineering, CESSE 2007
Abbreviated titleCESSE 2007
CountryGermany
CityBerlin
Period24/08/0728/08/07

Fingerprint

Ice
Monitoring
Roadsides
Alarm systems
Fog
Tires
Accidents
Friction
Testing

Keywords

  • Smart roads
  • traffic monitoring
  • traffic scene detection

Cite this

Jokela, M., Kutila, M., Laitinen, J., Ahlers, F., Hautière, N., & Schendzielorz, T. (2007). Optical road monitoring of the future smart roads – preliminary results. In Proceedings of World Academy of Science, Engineering and Technology (pp. 384-389)
Jokela, Maria ; Kutila, Matti ; Laitinen, Jukka ; Ahlers, Florian ; Hautière, Nicolas ; Schendzielorz, Tobias. / Optical road monitoring of the future smart roads – preliminary results. Proceedings of World Academy of Science, Engineering and Technology. 2007. pp. 384-389
@inproceedings{b03e7638d59e4253bc32de0e0471eb36,
title = "Optical road monitoring of the future smart roads – preliminary results",
abstract = "It has been shown that in most accidents the driver is responsible due to being distracted or misjudging the situation. In order to solve such problems research has been dedicated to developing driver assistance systems that are able to monitor the traffic situation around the vehicle. This paper presents methods for recognizing several circumstances on a road. The methods use both the in-vehicle warning systems and the roadside infrastructure. Preliminary evaluation results for fog and ice-on-road detection are presented. The ice detection results are based on data recorded in a test track dedicated to tyre friction testing. The achieved results anticipate that ice detection could work at a performance of 70{\%} detection with the right setup, which is a good foundation for implementation. However, the full benefit of the presented co-operative system is achieved by fusing the outputs of multiple data sources, which is the key point of discussion behind this publication.",
keywords = "Smart roads, traffic monitoring, traffic scene detection",
author = "Maria Jokela and Matti Kutila and Jukka Laitinen and Florian Ahlers and Nicolas Hauti{\`e}re and Tobias Schendzielorz",
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year = "2007",
language = "English",
isbn = "978-975-01752-2-0",
pages = "384--389",
booktitle = "Proceedings of World Academy of Science, Engineering and Technology",

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Jokela, M, Kutila, M, Laitinen, J, Ahlers, F, Hautière, N & Schendzielorz, T 2007, Optical road monitoring of the future smart roads – preliminary results. in Proceedings of World Academy of Science, Engineering and Technology. pp. 384-389, International Conference on Computer, Electrical, and Systems Science, and Engineering, CESSE 2007, Berlin, Germany, 24/08/07.

Optical road monitoring of the future smart roads – preliminary results. / Jokela, Maria; Kutila, Matti; Laitinen, Jukka; Ahlers, Florian; Hautière, Nicolas; Schendzielorz, Tobias.

Proceedings of World Academy of Science, Engineering and Technology. 2007. p. 384-389.

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

TY - GEN

T1 - Optical road monitoring of the future smart roads – preliminary results

AU - Jokela, Maria

AU - Kutila, Matti

AU - Laitinen, Jukka

AU - Ahlers, Florian

AU - Hautière, Nicolas

AU - Schendzielorz, Tobias

N1 - Project code: 3775

PY - 2007

Y1 - 2007

N2 - It has been shown that in most accidents the driver is responsible due to being distracted or misjudging the situation. In order to solve such problems research has been dedicated to developing driver assistance systems that are able to monitor the traffic situation around the vehicle. This paper presents methods for recognizing several circumstances on a road. The methods use both the in-vehicle warning systems and the roadside infrastructure. Preliminary evaluation results for fog and ice-on-road detection are presented. The ice detection results are based on data recorded in a test track dedicated to tyre friction testing. The achieved results anticipate that ice detection could work at a performance of 70% detection with the right setup, which is a good foundation for implementation. However, the full benefit of the presented co-operative system is achieved by fusing the outputs of multiple data sources, which is the key point of discussion behind this publication.

AB - It has been shown that in most accidents the driver is responsible due to being distracted or misjudging the situation. In order to solve such problems research has been dedicated to developing driver assistance systems that are able to monitor the traffic situation around the vehicle. This paper presents methods for recognizing several circumstances on a road. The methods use both the in-vehicle warning systems and the roadside infrastructure. Preliminary evaluation results for fog and ice-on-road detection are presented. The ice detection results are based on data recorded in a test track dedicated to tyre friction testing. The achieved results anticipate that ice detection could work at a performance of 70% detection with the right setup, which is a good foundation for implementation. However, the full benefit of the presented co-operative system is achieved by fusing the outputs of multiple data sources, which is the key point of discussion behind this publication.

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KW - traffic monitoring

KW - traffic scene detection

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Jokela M, Kutila M, Laitinen J, Ahlers F, Hautière N, Schendzielorz T. Optical road monitoring of the future smart roads – preliminary results. In Proceedings of World Academy of Science, Engineering and Technology. 2007. p. 384-389