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Towards an Approach for Knowledge-based Road Detection

Published

Author(s)

Mike Foedisch, M Lochner, D Teumim

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 Dates
October 31-November 5, 2005
Conference Location
Bremen, 1, GE
Conference Title
2005 CIKM Conference: Workshop on Research in Knowledge Representation for Autonomous Systems

Keywords

autonomous driving, Mobility, Road detection, road recognition, road representation, Robotics & Intelligent Systems, Vision

Citation

Foedisch, M. , Lochner, M. and Teumim, D. (2006), Towards an Approach for Knowledge-based Road Detection, 2005 CIKM Conference: Workshop on Research in Knowledge Representation for Autonomous Systems, Bremen, 1, GE, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=822689 (Accessed April 17, 2024)
Created June 25, 2006, Updated October 12, 2021