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Modeling vehicle behavior with neural dynamics
RISE Viktoria, Gothenburg, Sweden.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research. RISE Viktoria, Gothenburg, Sweden.ORCID iD: 0000-0002-1043-8773
RISE Viktoria, Gothenburg, Sweden.
RISE Viktoria, Gothenburg, Sweden.
2017 (English)In: Future Active Safety Technology - Towards zero traffic accidents, Nara, Japan, 2017Conference paper, Published paper (Refereed)
Abstract [en]

Modeling the interaction of vehicles during certain traffic situations is the starting point for creating autonomous driving. Data collected from field trials where test subjects drive through a single-vehicle intersection was used to create behavioral models. The present work describes two implementations of models based on the dynamical systems approach and compares similarities and differences between them. The proposed models are designed to closely replicate the behavior selection in the intersection crossing experiment.

Place, publisher, year, edition, pages
Nara, Japan, 2017.
National Category
Robotics
Identifiers
URN: urn:nbn:se:hh:diva-35480OAI: oai:DiVA.org:hh-35480DiVA, id: diva2:1160651
Conference
Future Active Safety Technology - Towards zero traffic accidents, FastZero2017, September 18-22, 2017, Nara, Japan
Available from: 2017-11-27 Created: 2017-11-27 Last updated: 2018-06-04Bibliographically approved

Open Access in DiVA

fulltext(1385 kB)12 downloads
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Type fulltextMimetype application/pdf

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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