hh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Model-based estimation of driver intentions using particle filtering
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).
2008 (English)In: 11th International IEEE Conference on Intelligent Transportation Systems, 2008. ITSC 2008, Piscataway, NJ.: IEEE Press, 2008, p. 1177-1182Conference paper, Published paper (Refereed)
Abstract [en]

Proactive vehicle alert systems that warn the driver about dangerous situations must be able to reason about, and predict, likely future states of the traffic environment. Our prediction method is based on a combination of a fuzzy logic model for intersection turning behavior and Gipps model for car following behavior. The stochastic models are used together with a particle filter to recursively approximate the state probability distribution as measurements are received over time. Estimates of the unobservable part of the state are used to predict path choice and thus driver intentions. The approach is evaluated on trajectory data gathered from video footage of an intersection, however it is also relevant for trajectories acquired through vehicle-to-vehicle communication.

Place, publisher, year, edition, pages
Piscataway, NJ.: IEEE Press, 2008. p. 1177-1182
Keywords [en]
Vehicle alert systems, Prediction method
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-2303DOI: 10.1109/ITSC.2008.4732623ISI: 000262929300197Scopus ID: 2-s2.0-60749090048Local ID: 2082/2705ISBN: 978-1-4244-2111-4 OAI: oai:DiVA.org:hh-2303DiVA, id: diva2:239521
Conference
11th International IEEE Conference on Intelligent Transportation Systems, Beijing, China, October 12-15, 2008
Note

©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Available from: 2009-02-16 Created: 2009-02-16 Last updated: 2018-03-23Bibliographically approved

Open Access in DiVA

fulltext(238 kB)463 downloads
File information
File name FULLTEXT01.pdfFile size 238 kBChecksum SHA-512
e2c98f4660d1592843c2d800ee37dfdf30f5989d72d3c8d42eac40c50a6d102a113ad3a95ec123951b1523af88c6a36d4468fd2963f46441b1dfb78b308ffe4c
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records BETA

Lidström, KristofferLarsson, Tony

Search in DiVA

By author/editor
Lidström, KristofferLarsson, Tony
By organisation
Centre for Research on Embedded Systems (CERES)
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 463 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 340 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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