Email this article 3D pose estimation for articulated vehicles using Kalman-filter based tracking
- Authors: Fuchs C.1, Neuhaus F.1, Paulus D.1
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Affiliations:
- Active Vision Group, Institute for Computational Visualistics
- Issue: Vol 26, No 1 (2016)
- Pages: 109-113
- Section: Applied Problems
- URL: https://bakhtiniada.ru/1054-6618/article/view/194529
- DOI: https://doi.org/10.1134/S1054661816010077
- ID: 194529
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Abstract
Knowledge about relative poses within a tractor/trailer combination is a vital prerequisite for kinematic modelling 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. We propose a camerabased 3D pose estimation system based on a Kalman-filter. It is evaluated against previously published methods for the same problem.
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About the authors
C. Fuchs
Active Vision Group, Institute for Computational Visualistics
Author for correspondence.
Email: fuchsc@uni-koblenz.de
Germany, Koblenz
F. Neuhaus
Active Vision Group, Institute for Computational Visualistics
Email: fuchsc@uni-koblenz.de
Germany, Koblenz
D. Paulus
Active Vision Group, Institute for Computational Visualistics
Email: fuchsc@uni-koblenz.de
Germany, Koblenz
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