3 papers
cs.CV2024
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration
Dominik Werner Wolf, Alexander Braun, Markus Ulrich
'A trustworthy representation of uncertainty is desirable and should be considered as a key feature of any machine learning method' (Huellermeier and Waegeman, 2021). This conclusi…
cs.CV2024
Decoupling of neural network calibration measures
Dominik Werner Wolf, Prasannavenkatesh Balaji, Alexander Braun +1
A lot of effort is currently invested in safeguarding autonomous driving systems, which heavily rely on deep neural networks for computer vision. We investigate the coupling of dif…
eess.IV2023
Sensitivity analysis of AI-based algorithms for autonomous driving on optical wavefront aberrations induced by the windshield
Dominik Werner Wolf, Markus Ulrich, Nikhil Kapoor
Autonomous driving perception techniques are typically based on supervised machine learning models that are trained on real-world street data. A typical training process involves c…