Отправить статью по E-mail 3D pose estimation for articulated vehicles using Kalman-filter based tracking
- Авторы: Fuchs C.1, Neuhaus F.1, Paulus D.1
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Учреждения:
- Active Vision Group, Institute for Computational Visualistics
- Выпуск: Том 26, № 1 (2016)
- Страницы: 109-113
- Раздел: 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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Аннотация
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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Об авторах
C. Fuchs
Active Vision Group, Institute for Computational Visualistics
Автор, ответственный за переписку.
Email: fuchsc@uni-koblenz.de
Германия, Koblenz
F. Neuhaus
Active Vision Group, Institute for Computational Visualistics
Email: fuchsc@uni-koblenz.de
Германия, Koblenz
D. Paulus
Active Vision Group, Institute for Computational Visualistics
Email: fuchsc@uni-koblenz.de
Германия, Koblenz
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