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Stereo and the city

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dc.contributor.authorFranke, Uwe
dc.contributor.editorHorbach, Matthias
dc.date.accessioned2019-03-07T09:31:37Z
dc.date.available2019-03-07T09:31:37Z
dc.date.issued2013
dc.description.abstractFor a long time Stereo Vision was considered a promising approach to improve traffic safety and driving comfort someday in the future. This day has come. Recent Mercedes Benz cars offer a powerful stereo camera system that sets new standards in vehicle safety and comfort. Modern dense disparity estimation combined with top-performing pedestrian classification allow for fully autonomous emergency braking. The system works for a speed range up to 72km/h – both day and night. Even more, for the first time Mercedes’ Intelligent Drive offers autonomous driving at low speeds in traffic jams. Currently, the research is heading towards autonomous driving on highways as well as in cities. The talk will sketch the state-of-the-art in robust Computer Vision for driver assistance. In addition, recent developments in Image Understanding that hopefully pave the way towards accident-free driving will be presented.en
dc.identifier.isbn978-3-88579-614-5
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/20632
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2013 – Informatik angepasst an Mensch, Organisation und Umwelt
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-220
dc.titleStereo and the cityen
dc.typeText/Conference Paper
gi.citation.endPage15
gi.citation.publisherPlaceBonn
gi.citation.startPage15
gi.conference.date16.-20. September 2013
gi.conference.locationKoblenz
gi.conference.sessiontitleRegular Research Papers

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P220 - INFORMATIK 2013 - Informatik angepasst an Mensch, Organisation und Umwelt