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Fuzzy Operators for Confidence Modelling in Automotive Safety Applications

dc.contributor.authorScheunert, Ullrich
dc.contributor.authorLindner, Philipp
dc.contributor.authorRichter, Eric
dc.contributor.authorWanielik, Gerd
dc.contributor.editorHerzog, Otthein
dc.contributor.editorRödiger, Karl-Heinz
dc.contributor.editorRonthaler, Marc
dc.contributor.editorKoschke, Rainer
dc.date.accessioned2019-05-15T09:04:51Z
dc.date.available2019-05-15T09:04:51Z
dc.date.issued2007
dc.description.abstractThe fusion of data from different sensorial sources is the most promising method to increase robustness and reliability of environmental perception today. The paper presents an approach for using fuzzy operators for the hierarchical fusion of processing results in a multi sensor data processing system for the detection of vehicles in road environments. Tracking and fusion of intermediate results are performed in several levels of processing (signal level, several feature levels, object level). To produce higher level hypotheses on the basis of lower level components, grouping rules using certain assignment decisions are used. One example is given for the fusion of image and radar data in a vehicle detection algorithm used in a driver assistance system.en
dc.identifier.isbn978-3-88579-206-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/22471
dc.language.isoen
dc.publisherGesellschaft für Informatik e. V.
dc.relation.ispartofInformatik 2007 – Informatik trifft Logistik – Band 2
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-110
dc.titleFuzzy Operators for Confidence Modelling in Automotive Safety Applicationsen
dc.typeText/Conference Paper
gi.citation.endPage159
gi.citation.publisherPlaceBonn
gi.citation.startPage155
gi.conference.date24.-27. September 2007
gi.conference.locationBremen
gi.conference.sessiontitleRegular Research Papers

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