Take a sneak peek at the new NIST.gov and let us know what you think!
(Please note: some content may not be complete on the beta site.).

View the beta site
NIST logo

Publication Citation: Towards an Approach for Knowledge-Based Road Detection

NIST Authors in Bold

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| | |
Location: Bremen, GE
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: PDF Document Click here to retrieve PDF version of paper (943KB)