12 citations · 14 across the 3 of their papers we have counts for
3 papers
Combining Visual Saliency Methods and Sparse Keypoint Annotations to Providently Detect Vehicles at Night
Lukas Ewecker, Lars Ohnemus, Robin Schwager +3
Provident detection of other road users at night has the potential for increasing road safety. For this purpose, humans intuitively use visual cues, such as light cones and light r…
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…