Alexander Braun

Orcid: 0000-0002-8358-0578

Affiliations:
  • Hochschule Düsseldorf (HSD), University of Applied Sciences, Department of Electrical Engineering, Germany
  • University of Siegen, Germany
  • University of Hamburg, Germany (PhD 2007)


According to our database1, Alexander Braun authored at least 20 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

2025
SOLAS: Superpositioning an Optical Lens in Automotive Simulation.
CoRR, January, 2025

2024
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration.
CoRR, 2024

SS-SFR: Synthetic Scenes Spatial Frequency Response on Virtual KITTI and Degraded Automotive Simulations for Object Detection.
CoRR, 2024

Analysis of the Impact of Lens Blur on Safety-Critical Automotive Object Detection.
IEEE Access, 2024

Decoupling of Neural Network Calibration Measures.
Proceedings of the Pattern Recognition, 2024

2023
Windscreen Optical Quality for AI Algorithms: Refractive Power and MTF not Sufficient.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

Classification robustness to common optical aberrations.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MTF as a performance indicator for AI algorithms?
Proceedings of the Autonomous Vehicles and Machines 2023, 2023

2022
Implementing machine learning: chances and challenges.
Autom., 2022

Simulating optical properties to access novel metrological parameter ranges and the impact of different model approximations.
Proceedings of the IEEE International Workshop on Metrology for Automotive, 2022

Original image noise reconstruction for spatially-varying filtered driving scenes.
Proceedings of the Autonomous Vehicles and Machines 2022, online, January 15-26, 2022, 2022

Spatial precision and recall indices to assess the performance of instance segmentation algorithms.
Proceedings of the Autonomous Vehicles and Machines 2022, online, January 15-26, 2022, 2022

2021
Differentiable Compound Optics and Processing Pipeline Optimization for End-to-end Camera Design.
ACM Trans. Graph., 2021

Spatial recall index for machine learning algorithms.
Proceedings of the London Imaging Meeting 2021: Imaging for Deep Learning, 2021

Impact of Windshield Optical Aberrations on Visual Range Camera Based Classification Tasks Performed by CNNs.
Proceedings of the London Imaging Meeting 2021: Imaging for Deep Learning, 2021

An analytic-numerical image flicker study to test novel flicker metrics.
Proceedings of the Autonomous Vehicles and Machines 2021, online, January 11-28, 2021, 2021

2020
Artificial intelligence with neural networks in optical measurement and inspection systems.
Autom., 2020

Simulating tests to test simulation.
Proceedings of the Autonomous Vehicles and Machines 2020, 2020

2019
Modeling realistic optical aberrations to reuse existing drive scene recordings for autonomous driving validation.
J. Electronic Imaging, 2019


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