13 citations · 24 across the 4 of their papers we have counts for
4 papers
Provident Vehicle Detection at Night: The PVDN Dataset
Lars Ohnemus, Lukas Ewecker, Ebubekir Asan +5
For advanced driver assistance systems, it is crucial to have information about oncoming vehicles as early as possible. At night, this task is especially difficult due to poor ligh…
Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets
Simon T. Isele, Marcel P. Schilling, Fabian E. Klein +2
Research on localization and perception for Autonomous Driving is mainly focused on camera and LiDAR datasets, rarely on radar data. Manually labeling sparse radar point clouds is…
Robustness of Generalized Learning Vector Quantization Models against Adversarial Attacks
Sascha Saralajew, Lars Holdijk, Maike Rees +1
Adversarial attacks and the development of (deep) neural networks robust against them are currently two widely researched topics. The robustness of Learning Vector Quantization (LV…
Prototype-based Neural Network Layers: Incorporating Vector Quantization
Sascha Saralajew, Lars Holdijk, Maike Rees +1
Neural networks currently dominate the machine learning community and they do so for good reasons. Their accuracy on complex tasks such as image classification is unrivaled at the…