In-vehicle sensor data fusion for road friction monitoring

Matti Kutila; Pasi Pyykönen; Kimmo Kauvo; Pekka Eloranta

doi:10.1109/ICCP.2011.6047895

In-vehicle sensor data fusion for road friction monitoring

Matti Kutila, Pasi Pyykönen, Kimmo Kauvo, Pekka Eloranta

Mobisoft Oy

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

6 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 language	English
Title of host publication	Proceedings
Subtitle of host publication	IEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	349-352
ISBN (Electronic)	978-1-4577-1481-8
ISBN (Print)	978-1-4577-1479-5
DOIs	https://doi.org/10.1109/ICCP.2011.6047895
Publication status	Published - 2011
MoE publication type	A4 Article in a conference publication
Event	IEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011 - Cluj-Napoca, Romania Duration: 25 Aug 2011 → 27 Aug 2011

Conference

Conference	IEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011
Abbreviated title	ICCP 2011
Country/Territory	Romania
City	Cluj-Napoca
Period	25/08/11 → 27/08/11

Keywords

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

Access to Document

10.1109/ICCP.2011.6047895

Cite this

@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; IEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011, ICCP 2011 ; Conference date: 25-08-2011 Through 27-08-2011",

year = "2011",

doi = "10.1109/ICCP.2011.6047895",

language = "English",

isbn = "978-1-4577-1479-5",

pages = "349--352",

booktitle = "Proceedings",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

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

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-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 - IEEE Institute of Electrical and Electronic Engineers

T2 - IEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011

Y2 - 25 August 2011 through 27 August 2011

ER -

In-vehicle sensor data fusion for road friction monitoring

Abstract

Conference

Keywords

Access to Document

Fingerprint

Cite this