Search Results for author: Bernd Doll

Found 4 papers, 1 papers with code

Module-Power Prediction from PL Measurements using Deep Learning

no code implementations31 Aug 2021 Mathis Hoffmann, Johannes Hepp, Bernd Doll, Claudia Buerhop-Lutz, Ian Marius Peters, Christoph Brabec, Andreas Maier, Vincent Christlein

While these areas can be easily identified from electroluminescense (EL) images, this is much harder for photoluminescence (PL) images.


Deep Learning-based Pipeline for Module Power Prediction from EL Measurements

1 code implementation30 Sep 2020 Mathis Hoffmann, Claudia Buerhop-Lutz, Luca Reeb, Tobias Pickel, Thilo Winkler, Bernd Doll, Tobias Würfl, Ian Marius Peters, Christoph Brabec, Andreas Maier, Vincent Christlein

However, knowledge of the power at maximum power point is important as well, since drops in the power of a single module can affect the performance of an entire string.

Fast and robust detection of solar modules in electroluminescence images

no code implementations19 Jul 2019 Mathis Hoffmann, Bernd Doll, Florian Talkenberg, Christoph J. Brabec, Andreas K. Maier, Vincent Christlein

We compare our method to the state of the art and show that it is superior in presence of perspective distortion while the performance on images, where the module is roughly coplanar to the detector, is similar to the reference method.

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