Name
Abstract | ||
|---|---|---|
Our previous work on road detection suggests the usage of prior knowledge in order to improve performance. In this paper we will explain our motivation for a novel approach, define requirements and point out issues, particularly concerning the representation of road depending on the use, which need to be addressed. The proposed system will provide symbolic data for high-level processes and guidance for low-level processes. Furthermore, we will outline the recognition approach based on previously discussed requirements and issues. This paper has a visionary character based on our experience with road detection for autonomous road vehicles. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1145/1096961.1096962 | CIKM-KRAS |
Keywords | Field | DocType |
novel approach,high-level process,low-level process,knowledge-based road detection,symbolic data,proposed system,previous work,prior knowledge,road detection,recognition approach,autonomous road vehicle,knowledge base | Information retrieval,Computer science,Human–computer interaction,Artificial intelligence,Machine learning | Conference |
ISBN | Citations | PageRank |
1-59593-202-X | 3 | 0.55 |
References | Authors | |
8 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mike Foedisch | 1 | 13 | 1.69 |
| Craig Schlenoff | 2 | 219 | 34.06 |
| Michael Shneier | 3 | 257 | 52.18 |