12 citations · 12 across the 3 of their papers we have counts for
3 papers
A Dataset for Provident Vehicle Detection at Night
Sascha Saralajew, Lars Ohnemus, Lukas Ewecker +3
In current object detection, algorithms require the object to be directly visible in order to be detected. As humans, however, we intuitively use visual cues caused by the respecti…
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…