3D pose estimation for articulated vehicles using Kalman-filter based tracking
- Autores: Fuchs C.1, Neuhaus F.1, Paulus D.1
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Afiliações:
- Active Vision Group, Institute for Computational Visualistics
- Edição: Volume 26, Nº 1 (2016)
- Páginas: 109-113
- Seção: Applied Problems
- URL: https://journals.rcsi.science/1054-6618/article/view/194529
- DOI: https://doi.org/10.1134/S1054661816010077
- ID: 194529
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Resumo
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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Sobre autores
C. Fuchs
Active Vision Group, Institute for Computational Visualistics
Autor responsável pela correspondência
Email: fuchsc@uni-koblenz.de
Alemanha, Koblenz
F. Neuhaus
Active Vision Group, Institute for Computational Visualistics
Email: fuchsc@uni-koblenz.de
Alemanha, Koblenz
D. Paulus
Active Vision Group, Institute for Computational Visualistics
Email: fuchsc@uni-koblenz.de
Alemanha, Koblenz
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