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Patrick Feifel
Patrick Feifel
Stellantis, Opel Automobile GmbH
Verified email at external.stellantis.com
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Inspect, understand, overcome: A survey of practical methods for ai safety
S Houben, S Abrecht, M Akila, A Bär, F Brockherde, P Feifel, ...
Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty …, 2022
582022
Using ontologies for dataset engineering in automotive AI applications
M Herrmann, C Witt, L Lake, S Guneshka, C Heinzemann, F Bonarens, ...
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 526-531, 2022
142022
Identifikation und Behandlung von Ausreißern in Flugbetriebsdaten für Machine Learning Modelle
S Baumann, M Gnisia, P Feifel, U Klingauf
Deutsche Gesellschaft für Luft-und Raumfahrt-Lilienthal-Oberth eV, 2018
72018
Reevaluating the safety impact of inherent interpretability on deep neural networks for pedestrian detection
P Feifel, F Bonarens, F Koster
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
42021
Leveraging interpretability: Concept-based pedestrian detection with deep neural networks
P Feifel, F Bonarens, F Köster
Proceedings of the 5th ACM Computer Science in Cars Symposium, 1-10, 2021
12021
Domain Adaptive Pedestrian Detection Based on Semantic Concepts
P Feifel, F Bonarens, F Köster
VISIGRAPP/ VISAPP, 2023
2023
Revisiting the Evaluation of Deep Neural Networks for Pedestrian Detection
P Feifel, B Franke, A Raulf, F Schwenker, F Bonarens, F Köster
Proceedings of IJCAI-ECAI Workshop on Artificial Intelligence Safety, 2022
2022
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