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Intelligent Autonomous Systems 13 pp 459–472Cite as

3D Pose Detection for Articulated Vehicles

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 302))

Abstract

The knowledge about relative poses within a tractor/trailer combination is a vital prerequisite for kinematic modeling and trajectory estimation. In case of autonomous vehicles or driver-assistance systems, for example, the monitoring of an attached passive trailer is crucial for operational safety. A 3-D pose detection sensor based on an optical approach suitable for uneven ground is presented and evaluated against a 2-D method in this article using a virtual test environment.

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Author information

Authors and Affiliations

  1. Active Vision Group, Institute for Computational Visualistics, Faculty for Computer Sciences, University of Koblenz-Landau, 56070, Koblenz, Germany

    Christian Fuchs & Dietrich Paulus

  2. Working Group Realtime Systems, Institute for Software Techniques, Faculty for Computer Sciences, University of Koblenz-Landau, 56070, Koblenz, Germany

    Dieter Zöbel

Authors
  1. Christian Fuchs
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  2. Dieter Zöbel
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  3. Dietrich Paulus
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Corresponding author

Correspondence to Christian Fuchs .

Editor information

Editors and Affiliations

  1. Information Engineering, University of Padua, Padua, Italy

    Emanuele Menegatti

  2. Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA

    Nathan Michael

  3. Fachbereich Informatik, Technische Universität Kaiserslautern Arbeitsgruppe Robotersysteme, Kaiserslautern, Germany

    Karsten Berns

  4. Integrated Information Technology, Aoyama Gakuin University, Tokyo, Japan

    Hiroaki Yamaguchi

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© 2016 Springer International Publishing Switzerland

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Fuchs, C., Zöbel, D., Paulus, D. (2016). 3D Pose Detection for Articulated Vehicles. In: Menegatti, E., Michael, N., Berns, K., Yamaguchi, H. (eds) Intelligent Autonomous Systems 13. Advances in Intelligent Systems and Computing, vol 302. Springer, Cham. https://doi.org/10.1007/978-3-319-08338-4_34

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  • DOI: https://doi.org/10.1007/978-3-319-08338-4_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08337-7

  • Online ISBN: 978-3-319-08338-4

  • eBook Packages: EngineeringEngineering (R0)

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