NDLI: Asynchronous real-time framework for knowledge-based intersection assistance

Content Provider	IEEE Xplore Digital Library
Author	Hulsen, M. Zollner, J.M. Haeberlen, N. Weiss, C.
Copyright Year	2011
Description	Author affiliation: FZI Research Center for Information Technology Karlsruhe (Zollner, J.M.) \|\| Robert Bosch GmbH in Leonberg, Germany (Hulsen, M.; Haeberlen, N.; Weiss, C.)
Abstract	Recently, a demand for advanced driver assistance in sophisticated situations with multiple traffic objects and complex infrastructure has emerged. To handle this kind of situations we developed a knowledge-base to model abstract qualitative information of traffic situations, up to very complex traffic intersections. We further created an asynchronous real-time simulation framework to investigate applicability of knowledge-based driver assistance systems within vehicle or traffic management systems. While the simulation with sensor data is running with very short update cycles the knowledge-base is updated asynchronously since reasoning is time expensive. Driver assistance functions are able to query the knowledge-base once it is fully reasoned. We especially focus on safety assistance systems and performed tests of our knowledge-based framework on exemplary intersection assistance functions. Results show the capability to perform semi and fully autonomous warning and deescalation assistance functions in real-time.
Starting Page	1680
Ending Page	1685
File Size	1949046
Page Count	6
File Format	PDF
ISBN	9781457721984
ISSN	21530009
e-ISBN	9781457721977
DOI	10.1109/ITSC.2011.6082810
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicles Ontologies Knowledge based systems Cognition Roads Real time systems Vehicle dynamics Intersection Understanding Advanced Driver Assistance Intelligent Vehicles Traffic Situation Description Situation Interpretation Ontology Knowledge-Based Systems
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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