Abstract
This paper presents the sensor data fusion approach of
the EU project FRICTI@N. The project objective was to
create an on-board system for estimating friction and
road slipperiness to enhance the performance of
integrated and cooperative vehicle safety systems. Using
a single sensor approach it is difficult to provide high
quality friction information for multiple safety systems.
Consequently, three types of sensors were used in the
study: (I) existing in-vehicle sensors measuring vehicle
dynamics, (II) environmental sensors, and (III) a
tyre-based sensor prototype. A data fusion architecture
is presented consisting of three feature fusion modules
and a decision fusion module. The algorithms have been
validated with a development vehicle and test results are
presented achieving nearly continuous friction
estimation.
Original language | English |
---|---|
Title of host publication | Proceedings of 16th ITS World Congress and Exhibition on Intelligent Transport Systems and Services |
Place of Publication | Stockholm |
Publisher | ITS Congress Association |
Number of pages | 12 |
Publication status | Published - 2009 |
MoE publication type | A4 Article in a conference publication |
Event | 16th World Congress and Exhibition on Intelligent Transport Systems and Services - Stockholm, Sweden Duration: 21 Sept 2009 → 25 Sept 2009 |
Conference
Conference | 16th World Congress and Exhibition on Intelligent Transport Systems and Services |
---|---|
Country/Territory | Sweden |
City | Stockholm |
Period | 21/09/09 → 25/09/09 |
Keywords
- friction
- data fusion
- tyre
- road
- environmental
- sensor
- sensing
- estimation