Early and accurate recognition of highway traffic maneuvers considering real world application: a novel framework using Bayesian networks

Galia Weidl, Anders Læsø Madsen, Stevens Wang, Kasper Dietmar, Martin Karlsen

Research output: Contribution to journalJournal articleResearchpeer-review

1 Citation (Scopus)

Abstract

This paper presents a novel application of artificial cognitive systems to traffic scene understanding and early recognition of highway maneuvers. This is achieved by use of Bayesian networks for knowledge representation, to mimic the human reasoning on situation analysis and to manage inherited uncertainties in the automotive domain, that requires efficient and effective analysis of high volume and frequency data streams. The maneuver recognition uses features, analyzing the observed vehicles behavior and available free space on the target lane.
Original languageEnglish
Article number8375109
JournalIEEE Intelligent Transportation Systems Magazine
Volume10
Issue number3
Pages (from-to)146-158
Number of pages13
ISSN1939-1390
DOIs
Publication statusPublished - 1 Sep 2018

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Cognitive systems
Knowledge representation
Bayesian networks
Uncertainty

Cite this

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title = "Early and accurate recognition of highway traffic maneuvers considering real world application: a novel framework using Bayesian networks",
abstract = "This paper presents a novel application of artificial cognitive systems to traffic scene understanding and early recognition of highway maneuvers. This is achieved by use of Bayesian networks for knowledge representation, to mimic the human reasoning on situation analysis and to manage inherited uncertainties in the automotive domain, that requires efficient and effective analysis of high volume and frequency data streams. The maneuver recognition uses features, analyzing the observed vehicles behavior and available free space on the target lane.",
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Early and accurate recognition of highway traffic maneuvers considering real world application : a novel framework using Bayesian networks. / Weidl, Galia; Madsen, Anders Læsø; Wang, Stevens; Dietmar, Kasper; Karlsen, Martin.

In: IEEE Intelligent Transportation Systems Magazine, Vol. 10, No. 3, 8375109, 01.09.2018, p. 146-158.

Research output: Contribution to journalJournal articleResearchpeer-review

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