License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.12.1.83
URN: urn:nbn:de:0030-drops-169220
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2022/16922/
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Kargl, Frank ; Krontiris, Ioannis ; Weimerskirch, André ; Williams, Ian ; Trkulja, Nataša
Weitere Beteiligte (Hrsg. etc.): Frank Kargl and Ioannis Krontiris and André Weimerskirch and Ian Williams and Nataša Trkulja

Privacy Protection of Automated and Self-Driving Vehicles (Dagstuhl Seminar 22042)

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dagrep_v012_i001_p083_22042.pdf (0.5 MB)

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 22042 "Privacy Protection of Automated and Self-Driving Vehicles". The Seminar reviewed existing privacy-enhancing technologies, standards, tools, and frameworks for protecting personal information in the context of automated and self-driving vehicles (AVs). We specifically focused on where such existing techniques clash with requirements of an AV and its data processing and identified the major road blockers on the way to deployment of privacy protection in AVs from a legal, technical, business and ethical perspective. Therefore, the seminar took an interdisciplinary approach involving autonomous and connected driving, privacy protection, and legal data protection experts. This report summarizes the discussions and findings during the seminar, includes the abstracts of talks, and includes a report from the working groups.

BibTeX - Entry

@Article{kargl_et_al:DagRep.12.1.83,
  author =	{Kargl, Frank and Krontiris, Ioannis and Weimerskirch, Andr\'{e} and Williams, Ian and Trkulja, Nata\v{s}a},
  title =	{{Privacy Protection of Automated and Self-Driving Vehicles (Dagstuhl Seminar 22042)}},
  pages =	{83--100},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2022},
  volume =	{12},
  number =	{1},
  editor =	{Kargl, Frank and Krontiris, Ioannis and Weimerskirch, Andr\'{e} and Williams, Ian and Trkulja, Nata\v{s}a},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2022/16922},
  URN =		{urn:nbn:de:0030-drops-169220},
  doi =		{10.4230/DagRep.12.1.83},
  annote =	{Keywords: automotive security and privacy, privacy and data protection}
}

Keywords: automotive security and privacy, privacy and data protection
Collection: DagRep, Volume 12, Issue 1
Issue Date: 2022
Date of publication: 23.08.2022

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