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Multi-classification of Driver Intentions in Yielding Scenarios
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP. (CVAP)
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP. KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS. (CAS/CVAP/CSC)ORCID iD: 0000-0002-7796-1438
2015 (English)In: Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference on, IEEE , 2015, 678-685 p.Conference paper, Published paper (Refereed)
Abstract [en]

Predictions of the future motion of other vehicles in the vicinity of an autonomous vehicle is required for safe operation on trafficked roads. An important step in order to use proper behavioral models for trajectory prediction is correctly classifying the intentions of drivers. This paper focuses on recognizing the intention of drivers without priority in yielding scenarios at intersections - where the behavior of the driver depends on interaction with other drivers with priority. In these scenarios the behavior can be divided into multiple classes for which we have compared three common classification algorithms: k-nearest neighbors, random forests and support vector machines. Evaluation on a data set of tracked vehicles recorded at an unsignalized intersection show that multiple intentions can be learned and that the support vector machine algorithm exhibits superior classification performance.

Place, publisher, year, edition, pages
IEEE , 2015. 678-685 p.
Keyword [en]
Autonomous Driving, Intention Estimation
National Category
Robotics
Identifiers
URN: urn:nbn:se:kth:diva-183496DOI: 10.1109/ITSC.2015.116ISI: 000376668800109Scopus ID: 2-s2.0-84950245947OAI: oai:DiVA.org:kth-183496DiVA: diva2:911785
Conference
Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference on
Funder
VINNOVA, 2012-04626
Note

QC 20160329

Available from: 2016-03-14 Created: 2016-03-14 Last updated: 2016-06-27Bibliographically approved

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Folkesson, John

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
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  • Other locale
More languages
Output format
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