Abstract
The paper presents a method and evaluation results to
monitor and detect road conditions (ice, water, snow and
dry asphalt). The developed device bases on light
polarization changes when reflected from road surface.
The recognition capability has been improved with texture
analysis which estimates contrast content of an image.
Test drives were performed with a vehicle quipped also
with a commercial solution from Vaisala which was used as
the reference sensor. The results show that the proposed
solution does not currently adapt to different conditions
perfectly well. Therefore, further development targets
have been identified to include not only more adjustable
classifier but externally lighting to stabilizing ambient
illumination.
| Original language | English |
|---|---|
| Title of host publication | Proceedings |
| Subtitle of host publication | IEEE 5th International Conference on Intelligent Computer Communication and Processing, ICCP 2009 |
| Place of Publication | Piscataway, NJ, USA |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Pages | 423-428 |
| ISBN (Print) | 978-1-4244-5007-7 |
| DOIs | |
| Publication status | Published - 2009 |
| MoE publication type | A4 Article in a conference publication |
| Event | IEEE 5th International Conference on Intelligent Computer Communication and Processing, ICCP 2009 - Cluj-Napoca, Romania Duration: 27 Aug 2009 → 29 Aug 2009 |
Conference
| Conference | IEEE 5th International Conference on Intelligent Computer Communication and Processing, ICCP 2009 |
|---|---|
| Abbreviated title | ICCP 2009 |
| Country/Territory | Romania |
| City | Cluj-Napoca |
| Period | 27/08/09 → 29/08/09 |
Keywords
- machine vision
- road monitoring
- ice
- water
- asphalt
- polarisation
- camera
- co-operative traffic
- V21