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Enabling Technologies for Road Vehicle Automation
RISE Viktoria, Göteborg, Sweden.ORCID iD: 0000-0002-1043-8773
eTrans Systems, Fairfax, USA.
MH Roine Consulting, Helsinki, Finland.
Qualcomm Technologies Inc., San Diego, USA.
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2017 (English)In: Road Vehicle Automation 4 / [ed] Meyer G. & Beiker S., Leiden: VSP , 2017, p. 177-185Chapter in book (Refereed)
Abstract [en]

Technology is to a large extent driving the development of road vehicle automation. This Chapter summarizes the general overall trends in the enabling technologies within this field that were discussed during the Enabling technologies for road vehicle automation breakout session at the Automated Vehicle Symposium 2016. With a starting point in six scenarios that have the potential to be deployed at an early stage, five different categories of emerging technologies are described: (a) positioning, localization and mapping (b) algorithms, deep learning techniques, sensor fusion guidance and control (c) hybrid communication (d) sensing and perception and (e) technologies for data ownership and privacy. It is found that reliability and extensive computational power are the two most common challenges within the emerging technologies. Furthermore, cybersecurity binds all technologies together as vehicles will be constantly connected. Connectivity allows both improved local awareness through vehicle-to-vehicle communication and it allows continuous deployment of new software and algorithms that constantly learns new unforeseen objects or scenarios. Finally, while five categories were individually considered, further holistic work to combine them in a systems concept would be the important next step toward implementation. © Springer International Publishing AG 2018

Place, publisher, year, edition, pages
Leiden: VSP , 2017. p. 177-185
Series
Lecture Notes in Mobility, ISSN 1573-4196
Keywords [en]
Vehicle automation, GNSS, Deep learning, Local awareness, Hybrid communication, V2V
National Category
Robotics
Identifiers
URN: urn:nbn:se:hh:diva-35486DOI: 10.1007/978-3-319-60934-8_15ISBN: 978-3-319-60933-1 (print)ISBN: 978-3-319-60934-8 (electronic)OAI: oai:DiVA.org:hh-35486DiVA, id: diva2:1160660
Available from: 2017-11-27 Created: 2017-11-27 Last updated: 2017-12-11Bibliographically approved

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Englund, Cristofer

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf