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Development of a hybrid safety system based on a machine learning approach using thermal and rgb data

Authors

Jathe, N.
Stern, H.
Freitag, M.

Meta information [BibTeX]

Year: 2023, Reviewed
Theilliol, Prof. D. and Korbicz, Prof. J and Kacprzyk, Prof. J. (Editors)
In: Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis
Conference: 16th European Workshop on Advanced Control and Diagnosis (ACD 2022) in Nancy, France (November 16-18, 2022)
Series: Studies in Systems, Decision and Control (SSDC), Vol. 467
Publisher: Springer Nature Switzerland, Cham, Switzerland
Pages: 273-282
ISBN: 978-3-031-27539-5, eISBN: 978-3-031-27540-1
DOI: 10.1007/978-3-031-27540-1_24

Jathe, N.; Stern, H.; Freitag, M.
Development of a hybrid safety system based on a machine learning approach using thermal and rgb data
In: Theilliol, Prof. D. ; Korbicz, Prof. J; Kacprzyk, Prof. J. (eds.): Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis. Springer Nature Switzerland, Cham, Switzerland, 2023, pp. 273-282
(Workgroup: BIBA)

@inproceedings{Jat23,
author = {Jathe, N. and Stern, H. and Freitag, M.},
title = {Development of a hybrid safety system based on a machine learning approach using thermal and rgb data},
booktitle = {Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis},
year = {2023},
editor = {Theilliol, Prof. D.  and Korbicz, Prof. J and Kacprzyk, Prof. J.},
publisher = {Springer Nature Switzerland},
doi = {10.1007/978-3-031-27540-1_24},
pages = {273-282}
}

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Contributions to Conferences

Development of a hybrid safety system based on a machine learning approach using thermal and rgb data

Authors

Meta information [BibTeX]