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Learning scenario-specific vehicle motion models for intelligent infrastructure applications

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Umfang7 Seiten

This is a preprint of the accepted conference paper for the IFAC Intelligent Autonomous Vehicles Conference 2019. The associated copyright agreement allows a public dowload of the paper on institutional servers (RWTH).

Online
DOI: 10.18154/RWTH-2019-04971
URL: http://publications.rwth-aachen.de/record/761581/files/761581.pdf

Einrichtungen

  1. Lehrstuhl und Institut für Regelungstechnik (416610)

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Dokumenttyp
Preprint

Format
online

Sprache
English

Interne Identnummern
RWTH-2019-04971
Datensatz-ID: 761581

Beteiligte Länder
Germany

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Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article/Contribution to a conference proceedings  ;  ;
Learning scenario-specific vehicle motion models for intelligent infrastructure applications
10. IFAC Symposium on Intelligent Autonomous Vehicles, IAV 19, GdanskGdansk, Poland, 3 Jul 2019 - 5 Jul 20192019-07-032019-07-05 IFAC-PapersOnLine 52(8), 111-117 () [10.1016/j.ifacol.2019.08.057] special issue: "10th IFAC Symposium on Intelligent Autonomous Vehicles IAV 2019 : Gdansk, Poland, 3-5 July 2019 / Edited by Bogdan Wiszniewski, Zdzisław Kowalczuk, Mariusz Domżalski"  GO  Download fulltext Files BibTeX | EndNote: XML, Text | RIS


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Faculty of Mechanical Engineering (Fac.4)
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416610

 Record created 2019-05-23, last modified 2022-01-31


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