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|Author(s):||Mike Foedisch; Craig I. Schlenoff; Michael O. Shneier;|
|Title:||Towards an Approach for Knowledge-Based Road Detection|
|Published:||June 26, 2006|
|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.|
|Conference:||Research in Knowledge Representation for Autonomous Systems Workshop|
|Proceedings:||CIKM Conference: Workshop on Research in Knowledge Representation for Autonomous Systems| | ||
|Dates:||October 31-November 5, 2005|
|Keywords:||autonomous driving,constraints,model-based recognition,road detection,road recognition,road representation,tree search|
|Research Areas:||Metrology and Standards for Manufacturing Systems and Data|
|PDF version:||Click here to retrieve PDF version of paper (943KB)|