In-vehicle sensor data fusion for road friction monitoring

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

5 Citations (Scopus)

Abstract

This study presents the in-vehicle road friction estimation module to provide information for the vehicle driver to adapt his/her driving style. Main aim is to enable support for saving fuel, minimising ecological impact and improving traffic safety. The module bases on the IcOR camera system developed by VTT which has been combined with the inertia data which measures accelerations/decelerations of the vehicle. Moreover, GPS receiver has been implemented to provide geographical position of the vehicle which is important for the infrastructure side cooperative traffic services. The test results indicate clear correlation with the lateral accelerations and IcOR road weather measures. The most important outcome is the chance to reduce number of false alarms since the acceleration based measurement is not sensitive for driving environment changes in outdoor as the IcOR camera system. Morover, the benefit of the acceleration data is possibility to maintain IcOR system detection reliability in level of 70 % when driving dark environment like tunnels or night time
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationIEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages349-352
ISBN (Electronic)978-1-4577-1481-8
ISBN (Print)978-1-4577-1479-5
DOIs
Publication statusPublished - 2011
MoE publication typeA4 Article in a conference publication
EventIEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011 - Cluj-Napoca, Romania
Duration: 25 Aug 201127 Aug 2011

Conference

ConferenceIEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011
Abbreviated titleICCP 2011
CountryRomania
CityCluj-Napoca
Period25/08/1127/08/11

Fingerprint

Sensor data fusion
Friction
Monitoring
Cameras
Deceleration
Global positioning system
Tunnels

Keywords

  • Data fusion
  • road friction monitoring
  • IEEE 802.11p
  • inertia unit
  • IcOR
  • friction
  • machine vision
  • camera

Cite this

Kutila, M., Pyykönen, P., Kauvo, K., & Eloranta, P. (2011). In-vehicle sensor data fusion for road friction monitoring. In Proceedings: IEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011 (pp. 349-352). Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/ICCP.2011.6047895
Kutila, Matti ; Pyykönen, Pasi ; Kauvo, Kimmo ; Eloranta, Pekka. / In-vehicle sensor data fusion for road friction monitoring. Proceedings: IEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011. Institute of Electrical and Electronic Engineers IEEE, 2011. pp. 349-352
@inproceedings{82adefa5a3fc4a6296f3fac4e12fa533,
title = "In-vehicle sensor data fusion for road friction monitoring",
abstract = "This study presents the in-vehicle road friction estimation module to provide information for the vehicle driver to adapt his/her driving style. Main aim is to enable support for saving fuel, minimising ecological impact and improving traffic safety. The module bases on the IcOR camera system developed by VTT which has been combined with the inertia data which measures accelerations/decelerations of the vehicle. Moreover, GPS receiver has been implemented to provide geographical position of the vehicle which is important for the infrastructure side cooperative traffic services. The test results indicate clear correlation with the lateral accelerations and IcOR road weather measures. The most important outcome is the chance to reduce number of false alarms since the acceleration based measurement is not sensitive for driving environment changes in outdoor as the IcOR camera system. Morover, the benefit of the acceleration data is possibility to maintain IcOR system detection reliability in level of 70 {\%} when driving dark environment like tunnels or night time",
keywords = "Data fusion, road friction monitoring, IEEE 802.11p, inertia unit, IcOR, friction, machine vision, camera",
author = "Matti Kutila and Pasi Pyyk{\"o}nen and Kimmo Kauvo and Pekka Eloranta",
note = "Project code: 74349",
year = "2011",
doi = "10.1109/ICCP.2011.6047895",
language = "English",
isbn = "978-1-4577-1479-5",
pages = "349--352",
booktitle = "Proceedings",
publisher = "Institute of Electrical and Electronic Engineers IEEE",
address = "United States",

}

Kutila, M, Pyykönen, P, Kauvo, K & Eloranta, P 2011, In-vehicle sensor data fusion for road friction monitoring. in Proceedings: IEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011. Institute of Electrical and Electronic Engineers IEEE, pp. 349-352, IEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011, Cluj-Napoca, Romania, 25/08/11. https://doi.org/10.1109/ICCP.2011.6047895

In-vehicle sensor data fusion for road friction monitoring. / Kutila, Matti; Pyykönen, Pasi; Kauvo, Kimmo; Eloranta, Pekka.

Proceedings: IEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011. Institute of Electrical and Electronic Engineers IEEE, 2011. p. 349-352.

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

TY - GEN

T1 - In-vehicle sensor data fusion for road friction monitoring

AU - Kutila, Matti

AU - Pyykönen, Pasi

AU - Kauvo, Kimmo

AU - Eloranta, Pekka

N1 - Project code: 74349

PY - 2011

Y1 - 2011

N2 - This study presents the in-vehicle road friction estimation module to provide information for the vehicle driver to adapt his/her driving style. Main aim is to enable support for saving fuel, minimising ecological impact and improving traffic safety. The module bases on the IcOR camera system developed by VTT which has been combined with the inertia data which measures accelerations/decelerations of the vehicle. Moreover, GPS receiver has been implemented to provide geographical position of the vehicle which is important for the infrastructure side cooperative traffic services. The test results indicate clear correlation with the lateral accelerations and IcOR road weather measures. The most important outcome is the chance to reduce number of false alarms since the acceleration based measurement is not sensitive for driving environment changes in outdoor as the IcOR camera system. Morover, the benefit of the acceleration data is possibility to maintain IcOR system detection reliability in level of 70 % when driving dark environment like tunnels or night time

AB - This study presents the in-vehicle road friction estimation module to provide information for the vehicle driver to adapt his/her driving style. Main aim is to enable support for saving fuel, minimising ecological impact and improving traffic safety. The module bases on the IcOR camera system developed by VTT which has been combined with the inertia data which measures accelerations/decelerations of the vehicle. Moreover, GPS receiver has been implemented to provide geographical position of the vehicle which is important for the infrastructure side cooperative traffic services. The test results indicate clear correlation with the lateral accelerations and IcOR road weather measures. The most important outcome is the chance to reduce number of false alarms since the acceleration based measurement is not sensitive for driving environment changes in outdoor as the IcOR camera system. Morover, the benefit of the acceleration data is possibility to maintain IcOR system detection reliability in level of 70 % when driving dark environment like tunnels or night time

KW - Data fusion

KW - road friction monitoring

KW - IEEE 802.11p

KW - inertia unit

KW - IcOR

KW - friction

KW - machine vision

KW - camera

U2 - 10.1109/ICCP.2011.6047895

DO - 10.1109/ICCP.2011.6047895

M3 - Conference article in proceedings

SN - 978-1-4577-1479-5

SP - 349

EP - 352

BT - Proceedings

PB - Institute of Electrical and Electronic Engineers IEEE

ER -

Kutila M, Pyykönen P, Kauvo K, Eloranta P. In-vehicle sensor data fusion for road friction monitoring. In Proceedings: IEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011. Institute of Electrical and Electronic Engineers IEEE. 2011. p. 349-352 https://doi.org/10.1109/ICCP.2011.6047895