Abstract
It has been shown that in most accidents the driver is responsible due
to being distracted or misjudging the situation. In order to solve such
problems research has been dedicated to developing driver assistance systems
that are able to monitor the traffic situation around the vehicle. This paper
presents methods for recognizing several circumstances on a road. The methods
use both the in-vehicle warning systems and the roadside infrastructure.
Preliminary evaluation results for fog and ice-on-road detection are
presented. The ice detection results are based on data recorded in a test
track dedicated to tyre friction testing. The achieved results anticipate that
ice detection could work at a performance of 70% detection with the right
setup, which is a good foundation for implementation. However, the full
benefit of the presented co-operative system is achieved by fusing the outputs
of multiple data sources, which is the key point of discussion behind this
publication.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of World Academy of Science, Engineering and Technology |
| Pages | 384-389 |
| Publication status | Published - 2007 |
| MoE publication type | A4 Article in a conference publication |
| Event | International Conference on Computer, Electrical, and Systems Science, and Engineering, CESSE 2007 - Berlin, Germany Duration: 24 Aug 2007 → 28 Aug 2007 |
Conference
| Conference | International Conference on Computer, Electrical, and Systems Science, and Engineering, CESSE 2007 |
|---|---|
| Abbreviated title | CESSE 2007 |
| Country/Territory | Germany |
| City | Berlin |
| Period | 24/08/07 → 28/08/07 |
Keywords
- Smart roads
- traffic monitoring
- traffic scene detection