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Enhanced Disparity Computation for ADAS Applications

dc.contributor.authorFardi, Basel
dc.contributor.authorAbbas, Ammar
dc.contributor.authorWanielik, Gerd
dc.contributor.editorHerzog, Otthein
dc.contributor.editorRödiger, Karl-Heinz
dc.contributor.editorRonthaler, Marc
dc.contributor.editorKoschke, Rainer
dc.date.accessioned2019-05-15T09:04:50Z
dc.date.available2019-05-15T09:04:50Z
dc.date.issued2007
dc.description.abstractMany of ADAS applications such as pedestrian and vehicle detection are using stereo vision. By computing the well-known disparity the range of objects ahead of the car can be determined. According to the computed range, it is possible to iden- tify whether this object is in a collision position or not. Based on the chain code algorithm a new disparity computation method is introduced. The proposed method enhances obviously the delivered disparity values as well as the object segmentation results by integrating the segmentation into the disparity assignment step.en
dc.identifier.isbn978-3-88579-206-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/22467
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.titleEnhanced Disparity Computation for ADAS Applicationsen
dc.typeText/Conference Paper
gi.citation.endPage139
gi.citation.publisherPlaceBonn
gi.citation.startPage135
gi.conference.date24.-27. September 2007
gi.conference.locationBremen
gi.conference.sessiontitleRegular Research Papers

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