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Traktor-Assistenzsysteme mittels Machine Learning

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ATZheavy duty Aims and scope

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Danke

Die Autoren danken Univ.-Prof. Dr. Stefan Jakubek, Vorstand des Institus für Mechanik und Mechatronik an der TU Wien, sowie Ass.-Prof. Dr. Christoph Hametner, Leiter des Christian-Doppler-Labors für Innovative Regelung und Überwachung von Antriebssystemen an der TU Wien, für ihre wertvolle Unterstützung bei dieser Modellentwicklung.

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  1. AVL, Steyr, Österreich

    Johannes Riedl

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  1. Johannes Riedl
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  2. Daniel Puckmayr
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  3. Dominik Brunner
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Riedl, J., Puckmayr, D. & Brunner, D. Traktor-Assistenzsysteme mittels Machine Learning. ATZ Heavy Duty 13, 52–56 (2020). https://doi.org/10.1007/s35746-020-0078-7

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  • DOI: https://doi.org/10.1007/s35746-020-0078-7

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