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Information fusion for cooperative vehicles

dc.contributor.authorTischler, Karin
dc.contributor.authorDuchow, Christian
dc.contributor.authorHummel, Britta
dc.contributor.editorHochberger, Christian
dc.contributor.editorLiskowsky, Rüdiger
dc.date.accessioned2019-06-12T12:32:28Z
dc.date.available2019-06-12T12:32:28Z
dc.date.issued2006
dc.description.abstractThe cooperative perception by an inter-vehicle network promises a multitude of improvements for advanced driver assistance systems. First, for the simultaneous estimation of the vehicle ego pose and the road network infrastructure, we propose a local, highly model-based fusion architecture for digital map and video information. Second, to extend the vehicle's field of view, we include remote information concerning the state of each participating vehicle and its object detections. For the object-level fusion of these detections a centralized tracking process by Kalman filtering is employed. The algorithms are evaluated in simulated vehicle network scenarios which are based on real sensor data.en
dc.identifier.isbn978-3-88579-187-4
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/23705
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2006 – Informatik für Menschen, Band 1
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-93
dc.titleInformation fusion for cooperative vehiclesen
dc.typeText/Conference Paper
gi.citation.endPage378
gi.citation.publisherPlaceBonn
gi.citation.startPage374
gi.conference.date2.-6. Oktober 2006
gi.conference.locationDresden
gi.conference.sessiontitleRegular Research Papers

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