1 citations · 1 across the 1 of their papers we have counts for
4 papers
WayveScenes101: A Dataset and Benchmark for Novel View Synthesis in Autonomous Driving
Jannik Zürn, Paul Gladkov, Sofía Dudas +5
We present WayveScenes101, a dataset designed to help the community advance the state of the art in novel view synthesis that focuses on challenging driving scenes containing many…
AutoGraph: Predicting Lane Graphs from Traffic Observations
Jannik Zürn, Ingmar Posner, Wolfram Burgard
Lane graph estimation is a long-standing problem in the context of autonomous driving. Previous works aimed at solving this problem by relying on large-scale, hand-annotated lane g…
Lane Graph Estimation for Scene Understanding in Urban Driving
Jannik Zürn, Johan Vertens, Wolfram Burgard
Lane-level scene annotations provide invaluable data in autonomous vehicles for trajectory planning in complex environments such as urban areas and cities. However, obtaining such…
HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images
Johan Vertens, Jannik Zürn, Wolfram Burgard
The majority of learning-based semantic segmentation methods are optimized for daytime scenarios and favorable lighting conditions. Real-world driving scenarios, however, entail ad…