License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.08091.14
URN: urn:nbn:de:0030-drops-16165
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2008/1616/
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Hummel, Britta ;
Thiemann, Werner ;
Lulcheva, Irina
Scene Understanding of Urban Road Intersections with Description Logic
Abstract
Road recognition from video sequences has been solved robustly only for small, often simplified subsets of possible road configurations. A massive augmentation of the amount of prior knowledge may pave the way towards a generation of estimators of more general applicability. This contribution introduces Description Logic extended by rules as a promising knowledge representation formalism for road and intersection understanding.
We have set up a Description Logic knowledge base for arbitrary road and intersection geometries and configurations. Logically stated geometric constraints and road building regulations constrain the hypothesis space. Sensor data from an in-vehicle vision sensor and from a digital map provide evidence for a particular intersection. Partial observability and different abstraction layers of the input data are naturally handled by the representation formalism.
Deductive inference services – namely satisfiability, classification, entailment, and consistency – are then used to narrow down the intersection hypothesis space based on the evidence and the background knowledge, and to retrieve intersection information relevant to a user, i.e. a human or a driver assistance system. We conclude with an outlook towards non-deductive reasoning, namely model construction under the answer set semantics.
BibTeX - Entry
@InProceedings{hummel_et_al:DagSemProc.08091.14,
author = {Hummel, Britta and Thiemann, Werner and Lulcheva, Irina},
title = {{Scene Understanding of Urban Road Intersections with Description Logic}},
booktitle = {Logic and Probability for Scene Interpretation},
pages = {1--16},
series = {Dagstuhl Seminar Proceedings (DagSemProc)},
ISSN = {1862-4405},
year = {2008},
volume = {8091},
editor = {Anthony G. Cohn and David C. Hogg and Ralf M\"{o}ller and Bernd Neumann},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2008/1616},
URN = {urn:nbn:de:0030-drops-16165},
doi = {10.4230/DagSemProc.08091.14},
annote = {Keywords: Autonomous Driving;, Road Recognition, Knowledge Representation, Description Logic, Nonmonotonic Reasoning}
}
Keywords: |
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Autonomous Driving;, Road Recognition, Knowledge Representation, Description Logic, Nonmonotonic Reasoning |
Collection: |
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08091 - Logic and Probability for Scene Interpretation |
Issue Date: |
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2008 |
Date of publication: |
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23.10.2008 |