3 papers
cs.CV2021
SLPC: a VRNN-based approach for stochastic lidar prediction and completion in autonomous driving
George Eskandar, Alexander Braun, Martin Meinke +2
Predicting future 3D LiDAR pointclouds is a challenging task that is useful in many applications in autonomous driving such as trajectory prediction, pose forecasting and decision…
eess.IV2018
Resolution and accuracy of non-linear regression of PSF with artificial neural networks
Matthias Lehmann, Christian Wittpahl, Hatem Ben Zakour +1
In a previous work we have demonstrated a novel numerical model for the point spread function (PSF) of an optical system that can efficiently model both experimental measurements a…
eess.IV2018
Realistic Image Degradation with Measured PSF
Christian Wittpahl, Hatem Ben Zakour, Matthias Lehmann +1
Training autonomous vehicles requires lots of driving sequences in all situations\cite{zhao2016}. Typically a simulation environment (software-in-the-loop, SiL) accompanies real-wo…