354 citations · 582 across the 39 of their papers we have counts for
45 papers
Vision-based Lifting of 2D Object Detections for Automated Driving
Hendrik Königshof, Kun Li, Christoph Stiller
Image-based 3D object detection is an inevitable part of autonomous driving because cheap onboard cameras are already available in most modern cars. Because of the accurate depth i…
HD Map Generation from Noisy Multi-Route Vehicle Fleet Data on Highways with Expectation Maximization
Fabian Immel, Richard Fehler, Mohammad M. Ghanaat +3
High Definition (HD) maps are necessary for many applications of automated driving (AD), but their manual creation and maintenance is very costly. Vehicle fleet data from series pr…
Self-supervised pseudo-colorizing of masked cells
Royden Wagner, Carlos Fernandez Lopez, Christoph Stiller
Self-supervised learning, which is strikingly referred to as the dark matter of intelligence, is gaining more attention in biomedical applications of deep learning. In this work, w…
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving
Kevin Rösch, Florian Heidecker, Julian Truetsch +5
Trajectory data analysis is an essential component for highly automated driving. Complex models developed with these data predict other road users' movement and behavior patterns.…
Robust Self-Tuning Data Association for Geo-Referencing Using Lane Markings
Miguel Ángel Muñoz-Bañón, Jan-Hendrik Pauls, Haohao Hu +3
Localization in aerial imagery-based maps offers many advantages, such as global consistency, geo-referenced maps, and the availability of publicly accessible data. However, the la…
Improving Predictive Performance and Calibration by Weight Fusion in Semantic Segmentation
Timo Sämann, Ahmed Mostafa Hammam, Andrei Bursuc +2
Averaging predictions of a deep ensemble of networks is apopular and effective method to improve predictive performance andcalibration in various benchmarks and Kaggle competitions…