License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.5.11.36
URN: urn:nbn:de:0030-drops-57639
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2016/5763/
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Bruhn, André ; Imiya, Atsushi ; Leonardis, Ales ; Pajdla, Tomas
Weitere Beteiligte (Hrsg. etc.): André Bruhn and Atsushi Imiya and Ales Leonardis and Tomas Pajdla

Vision for Autonomous Vehicles and Probes (Dagstuhl Seminar 15461)

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dagrep_v005_i011_p036_s15461.pdf (1 MB)

Abstract

The vision-based autonomous driving and navigation of vehicles has a long history. In 2013, Daimler succeeded autonomous driving on a public drive way. Today, the Curiosity mars rover is sending video views from Mars to Earth. Computer vision plays a key role in advanced driver assistance systems (ADAS) as well as in exploratory and service robotics. Continuing topics of interest in computer vision are scene and environmental understanding using single- and multiple-camera systems, which are fundamental techniques for autonomous driving, navigation in unknown environments and remote visual exploration. Therefore, we strictly focuses on mathematical, geometrical and computational aspects of autonomous vehicles and autonomous vehicular technology which make use of computer vision and pattern recognition as the central component for autonomous driving and navigation and remote exploration.

BibTeX - Entry

@Article{bruhn_et_al:DR:2016:5763,
  author =	{Andr{\'e} Bruhn and Atsushi Imiya and Ales Leonardis and Tomas Pajdla},
  title =	{{Vision for Autonomous Vehicles and Probes (Dagstuhl Seminar 15461)}},
  pages =	{36--61},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2016},
  volume =	{5},
  number =	{11},
  editor =	{Andr{\'e} Bruhn and Atsushi Imiya and Ales Leonardis and Tomas Pajdla},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2016/5763},
  URN =		{urn:nbn:de:0030-drops-57639},
  doi =		{10.4230/DagRep.5.11.36},
  annote =	{Keywords: Vision-based autonomous driving and navigation, Exploratory rovers, Dynamic 3D scene understanding, Simultaneous localization and mapping, }
}

Keywords: Vision-based autonomous driving and navigation, Exploratory rovers, Dynamic 3D scene understanding, Simultaneous localization and mapping,
Freie Schlagwörter (englisch): On-board algorithms
Collection: Dagstuhl Reports, Volume 5, Issue 11
Issue Date: 2016
Date of publication: 11.03.2016

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