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cs.CV2024★ 1 cited
M3TR: A Generalist Model for Real-World HD Map Completion
Fabian Immel, Richard Fehler, Frank Bieder +2
Autonomous vehicles rely on HD maps for their operation, but offline HD maps eventually become outdated. For this reason, online HD map construction methods use live sensor data to…
cs.CV2024
Generation of Training Data from HD Maps in the Lanelet2 Framework
Fabian Immel, Richard Fehler, Frank Bieder +1
Using HD maps directly as training data for machine learning tasks has seen a massive surge in popularity and shown promising results, e.g. in the field of map perception. Despite…
cs.CV2024
YOLinO++: Single-Shot Estimation of Generic Polylines for Mapless Automated Diving
Annika Meyer, Christoph Stiller
In automated driving, highly accurate maps are commonly used to support and complement perception. These maps are costly to create and quickly become outdated as the traffic world…