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 December 6, 2024)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Towards an Approach for Knowledge-Based Road Detection
Published
Author(s)
, ,
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
Pub Type
Conferences
Download Paper
Keywords
autonomous driving, constraints, model-based recognition, road detection, road recognition, road representation, tree search
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.
Created June 26, 2006, Updated February 19, 2017