Abstract
Road friction measurement is an important issue for
active safety systems on vehicles; hence knowledge of
this key parameter can significantly improve the
interventions on vehicle dynamics. This study compares
two different on-board sensors for the classification of
road conditions with polarised infrared light. Several
tests are performed on a dedicated track, with focus on
detection of dry or wet surfaces, and the presence of ice
or snow. The work shows the capability of both sensors to
provide a correct classification. In particular, results
indicate how the monitored area, the presence of active
illumination and the mounting position influence
measurements and response times. It is concluded that
both systems classify different road conditions in all
cases. Performance of the Road eye system varied from 80
to 90 % whereas the camera based IcOR achieved 70-80 %
accuracy level. Since these are being prototype sensors
more development is needed before implemented into
advanced safety applications
| Original language | English |
|---|---|
| Title of host publication | Advanced Microsystems for Automotive Applications 2012 |
| Subtitle of host publication | Smart Systems for Safe, Sustainable and Networked Vehicles |
| Editors | Gereon Meyer |
| Place of Publication | Heidelberg |
| Publisher | Springer |
| Pages | 207-220 |
| ISBN (Electronic) | 978-3-642-29673-4 |
| ISBN (Print) | 978-3-642-29672-7 |
| Publication status | Published - 2012 |
| MoE publication type | A3 Part of a book or another research book |
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Cite this
Casselgren, J., Kutila, M., & Jokela, M. (2012). Slippery road detection by using different methods of polarised light. In G. Meyer (Ed.), Advanced Microsystems for Automotive Applications 2012: Smart Systems for Safe, Sustainable and Networked Vehicles (pp. 207-220). Springer.