4 papers
FSOCO: The Formula Student Objects in Context Dataset
Niclas Vödisch, David Dodel, Michael Schötz
This paper presents the FSOCO dataset, a collaborative dataset for vision-based cone detection systems in Formula Student Driverless competitions. It contains human annotated groun…
LiDAR Registration with Visual Foundation Models
Niclas Vödisch, Giovanni Cioffi, Marco Cannici +2
LiDAR registration is a fundamental task in robotic mapping and localization. A critical component of aligning two point clouds is identifying robust point correspondences using po…
BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation
Jonas Schramm, Niclas Vödisch, Kürsat Petek +4
Semantic scene segmentation from a bird's-eye-view (BEV) perspective plays a crucial role in facilitating planning and decision-making for mobile robots. Although recent vision-onl…
Efficient Robot Learning for Perception and Mapping
Niclas Vödisch
Holistic scene understanding poses a fundamental contribution to the autonomous operation of a robotic agent in its environment. Key ingredients include a well-defined representati…