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Documents authored by Burgard, Wolfram


Document
The Mobile Revolution - Machine Intelligence for Autonomous Vehicles (Dagstuhl Seminar 15462)

Authors: Wolfram Burgard, Uwe Franke, Markus Enzweiler, and Mohan Trivedi

Published in: Dagstuhl Reports, Volume 5, Issue 11 (2016)


Abstract
This report documents the Dagstuhl Seminar 15462 "The Mobile Revolution - Machine Intelligence for Autonomous Vehicles". The seminar has discussed the state-of-the-art and provided a consistent vision on the topic of intelligent autonomous vehicles. It has served as a communication platform between the various sub-communities involved, by bringing together key persons in industry and academia in their respective fields. Additionally, relations between different disciplines of intelligent transportation systems have be identified and exploited. The seminar has allowed its participants to bridge the gap between foundational research and real-world applications by identifying further research directions and initiating interdisciplinary collaborations.

Cite as

Wolfram Burgard, Uwe Franke, Markus Enzweiler, and Mohan Trivedi. The Mobile Revolution - Machine Intelligence for Autonomous Vehicles (Dagstuhl Seminar 15462). In Dagstuhl Reports, Volume 5, Issue 11, pp. 62-70, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)


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@Article{burgard_et_al:DagRep.5.11.62,
  author =	{Burgard, Wolfram and Franke, Uwe and Enzweiler, Markus and Trivedi, Mohan},
  title =	{{The Mobile Revolution - Machine Intelligence for Autonomous Vehicles (Dagstuhl Seminar 15462)}},
  pages =	{62--70},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2016},
  volume =	{5},
  number =	{11},
  editor =	{Burgard, Wolfram and Franke, Uwe and Enzweiler, Markus and Trivedi, Mohan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.5.11.62},
  URN =		{urn:nbn:de:0030-drops-57646},
  doi =		{10.4230/DagRep.5.11.62},
  annote =	{Keywords: autonomous driving, digital maps, environment perception, machine intelligence, robotics, situation awareness, traffic safety}
}
Document
10371 Abstracts Collection – Dynamic Maps

Authors: Claus Brenner, Wolfram Burgard, Marc Pollefeys, and Christoph Stiller

Published in: Dagstuhl Seminar Proceedings, Volume 10371, Dynamic Maps (2011)


Abstract
From September 12th to 17th, 2010, the Dagstuhl Seminar 10371 ``Dynamic Maps '' was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.

Cite as

Claus Brenner, Wolfram Burgard, Marc Pollefeys, and Christoph Stiller. 10371 Abstracts Collection – Dynamic Maps. In Dynamic Maps. Dagstuhl Seminar Proceedings, Volume 10371, pp. 1-14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)


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@InProceedings{brenner_et_al:DagSemProc.10371.1,
  author =	{Brenner, Claus and Burgard, Wolfram and Pollefeys, Marc and Stiller, Christoph},
  title =	{{10371 Abstracts Collection – Dynamic Maps}},
  booktitle =	{Dynamic Maps},
  pages =	{1--14},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2011},
  volume =	{10371},
  editor =	{Claus Brenner and Wolfram Burgard and Marc Pollefeys and Christoph Stiller},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10371.1},
  URN =		{urn:nbn:de:0030-drops-29526},
  doi =		{10.4230/DagSemProc.10371.1},
  annote =	{Keywords: Dynamic maps, computer vision, photogrammetry, robotics, computer graphics, geoinformatics, driver assistance}
}
Document
10371 Executive Summary – Dynamic Maps

Authors: Claus Brenner, Wolfram Burgard, Marc Pollefeys, and Christoph Stiller

Published in: Dagstuhl Seminar Proceedings, Volume 10371, Dynamic Maps (2011)


Abstract
In recent years, the advent of car navigation systems has laid the ground for an entirely new industry sector, consisting of map producers, car/ personal/ smart phone navigation manufacturers, and service providers. It has probably gone unnoticed that navigation systems mark a major change in the way we use maps. Partially, they are still just a replacement for traditional maps, providing a means to store and visualize a representation of the environment. In contrast to the traditional use of maps, however, navigation systems perform computations using the map's data structures, such as shortest route, map matching, and route guidance. That is, from an abstract point of view, part of the map is made for machine use only – the user has no direct access to it but rather is only presented the outcome of the computations.

Cite as

Claus Brenner, Wolfram Burgard, Marc Pollefeys, and Christoph Stiller. 10371 Executive Summary – Dynamic Maps. In Dynamic Maps. Dagstuhl Seminar Proceedings, Volume 10371, pp. 1-4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)


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@InProceedings{brenner_et_al:DagSemProc.10371.2,
  author =	{Brenner, Claus and Burgard, Wolfram and Pollefeys, Marc and Stiller, Christoph},
  title =	{{10371 Executive Summary – Dynamic Maps}},
  booktitle =	{Dynamic Maps},
  pages =	{1--4},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2011},
  volume =	{10371},
  editor =	{Claus Brenner and Wolfram Burgard and Marc Pollefeys and Christoph Stiller},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10371.2},
  URN =		{urn:nbn:de:0030-drops-29512},
  doi =		{10.4230/DagSemProc.10371.2},
  annote =	{Keywords: Dynamic maps, spatial data infrastructure, SLAM, map matching, autonomous navigation, spatial cognition, data fusion, information retrieval, intelligent vehicles, 3D scene perception, scene understanding, 3D reconstruction}
}
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