Dominik Werner Wolf
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View article: Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Open
'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 conclusion of Huellermeier et al. underpins the importance of calib…
View article: Decoupling of neural network calibration measures
Decoupling of neural network calibration measures Open
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 different neural network calibration measures with a special f…
View article: Novel developments of refractive power measurement techniques in the automotive world
Novel developments of refractive power measurement techniques in the automotive world Open
Refractive power measurements serve as the primary quality standard in the automotive glazing industry. In the light of autonomous driving new optical metrics are becoming more and more popular for specifying optical quality requirements f…
View article: Windscreen Optical Quality for AI Algorithms: Refractive Power and MTF not Sufficient
Windscreen Optical Quality for AI Algorithms: Refractive Power and MTF not Sufficient Open
Windscreen optical quality is an important aspect of any advanced driver assistance system, and also for future autonomous driving, as today at least some cameras of the sensor suite are situated behind the windscreen. Automotive mass prod…
View article: Sensitivity Analysis of AI-Based Algorithms for Autonomous Driving on Optical Wavefront Aberrations Induced by the Windshield
Sensitivity Analysis of AI-Based Algorithms for Autonomous Driving on Optical Wavefront Aberrations Induced by the Windshield Open
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 capturing images with a single car model and windshield conf…
View article: Optics Measurements and Correction Plans for the HL-LHC
Optics Measurements and Correction Plans for the HL-LHC Open
The High Luminosity LHC (HL-LHC) will require stringent optics correction to operate safely and deliver the design luminosity to the experiments. In order to achieve this, several new methods for optics correction have been developed. In t…
View article: Optics Correction Strategy for Run 3 of the LHC
Optics Correction Strategy for Run 3 of the LHC Open
The Run 3 of the LHC will continue to provide new challenges for optics corrections. In order to succeed and go beyond what was achieved previously, several new methods to measure and correct the optics have been developed. In this article…
View article: LHC Run 2 Optics Commissioning Experience in View of HL-LHC
LHC Run 2 Optics Commissioning Experience in View of HL-LHC Open
LHC Run 2 has achieved a beta lower than a factor 2 below design. This has significantly challenged optics measurement and correction techniques in the linear and non-linear regimes, leading to the development of new approaches. Furthermor…