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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}
}
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