Modeling realistic optical aberrations to reuse existing drive scene recordings for autonomous driving validation. - Matthias Lehmann; Christian Wittpahl; Hatem Ben Zakour; Alexander Braun 001 (J. Electronic Imaging, 2019)

Simulating tests to test simulation. - Patrick Müller 003; Matthias Lehmann; Alexander Braun 001 (Autonomous Vehicles and Machines, 2020)

Artificial intelligence with neural networks in optical measurement and inspection systems. - Michael Heizmann; Alexander Braun 001; Markus Hüttel; Christina Klüver; Erik Marquardt; Michael Overdick; Markus Ulrich (Autom., 2020)

An analytic-numerical image flicker study to test novel flicker metrics. - Christian Wittpahl; Brian M. Deegan; Bob Black; Alexander Braun 001 (Autonomous Vehicles and Machines, 2021)

Impact of Windshield Optical Aberrations on Visual Range Camera Based Classification Tasks Performed by CNNs. - Christian Krebs; Patrick Müller 003; Alexander Braun 001 (LIM, 2021)

Spatial recall index for machine learning algorithms. - Patrick Müller 003; Mattis Brummel; Alexander Braun 001 (LIM, 2021)

Differentiable Compound Optics and Processing Pipeline Optimization for End-to-end Camera Design. - Ethan Tseng; Ali Mosleh 002; Fahim Mannan; Karl St. Arnaud; Avinash Sharma; Yifan Peng 001; Alexander Braun 001; Derek Nowrouzezahrai; Jean-François Lalonde; Felix Heide (ACM Trans. Graph., 2021)

Spatial precision and recall indices to assess the performance of instance segmentation algorithms. - Mattis Brummel; Patrick Müller 003; Alexander Braun 001 (Autonomous Vehicles and Machines, 2022)

Original image noise reconstruction for spatially-varying filtered driving scenes. - Luis Constantin Wohlers; Patrick Müller 003; Alexander Braun 001 (Autonomous Vehicles and Machines, 2022)

Simulating optical properties to access novel metrological parameter ranges and the impact of different model approximations. - Patrick Müller 003; Alexander Braun 001 (MetroAutomotive, 2022)

Implementing machine learning: chances and challenges. - Michael Heizmann; Alexander Braun 001; Markus Glitzner; Matthias Günther; Günther Hasna; Christina Klüver; Jakob Krooß; Erik Marquardt; Michael Overdick; Markus Ulrich (Autom., 2022)

MTF as a performance indicator for AI algorithms? - Patrick Müller 003; Alexander Braun 001 (Autonomous Vehicles and Machines, 2023)

Classification robustness to common optical aberrations. - Patrick Müller 003; Alexander Braun 001; Margret Keuper (ICCV (Workshops), 2023)

Windscreen Optical Quality for AI Algorithms: Refractive Power and MTF not Sufficient. - Dominik Werner Wolf; Markus Ulrich; Alexander Braun 001 (ITSC, 2023)

Decoupling of Neural Network Calibration Measures. - Dominik Werner Wolf; Prasannavenkatesh Balaji; Alexander Braun 001; Markus Ulrich (GCPR (1), 2024)

Analysis of the Impact of Lens Blur on Safety-Critical Automotive Object Detection. - Dara Molloy; Patrick Müller 003; Brian M. Deegan; Darragh Mullins; Jonathan Horgan; Enda Ward; Edward Jones; Alexander Braun 001; Martin Glavin (IEEE Access, 2024)

SS-SFR: Synthetic Scenes Spatial Frequency Response on Virtual KITTI and Degraded Automotive Simulations for Object Detection. - Daniel Jakab; Alexander Braun 001; Cathaoir Agnew; Reenu Mohandas; Brian Michael Deegan; Dara Molloy; Enda Ward; Tony Scanlan; Ciarán Eising (CoRR, 2024)

Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration. - Dominik Werner Wolf; Alexander Braun 001; Markus Ulrich (CoRR, 2024)

SOLAS: Superpositioning an Optical Lens in Automotive Simulation. - Daniel Jakab; Julian Barthel; Alexander Braun 001; Reenu Mohandas; Brian Michael Deegan; Mahendar Kumbham; Dara Molloy; Fiachra Collins; Anthony G. Scanlan; Ciarán Eising (CoRR, 2025)

Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models. - Patrick Müller 003; Alexander Braun 001; Margret Keuper (IEEE Trans. Pattern Anal. Mach. Intell., 2026)