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Towards an Approach for Knowledge-Based Road Detection

Published

Author(s)

Mike Foedisch, Craig I. Schlenoff, Michael O. Shneier

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.
Proceedings Title
CIKM Conference: Workshop on Research in Knowledge Representation for Autonomous Systems| | |
Conference Dates
October 31-November 5, 2005
Conference Location
Bremen, GE
Conference Title
Research in Knowledge Representation for Autonomous Systems Workshop

Keywords

autonomous driving, constraints, model-based recognition, road detection, road recognition, road representation, tree search

Citation

Foedisch, M. , Schlenoff, C. and Shneier, M. (2006), Towards an Approach for Knowledge-Based Road Detection, CIKM Conference: Workshop on Research in Knowledge Representation for Autonomous Systems| | |, Bremen, GE, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=824020 (Accessed April 12, 2024)
Created June 26, 2006, Updated February 19, 2017