2 papers
cs.CV2026
Failure Modes for Deep Learning-Based Online Mapping: How to Measure and Address Them
Michael Hubbertz, Qi Han, Tobias Meisen
Deep learning-based online mapping has emerged as a cornerstone of autonomous driving, yet these models frequently fail to generalize beyond familiar environments. We propose a fra…
cs.CV2025
Inferring Driving Maps by Deep Learning-based Trail Map Extraction
Michael Hubbertz, Pascal Colling, Qi Han +1
High-definition (HD) maps offer extensive and accurate environmental information about the driving scene, making them a crucial and essential element for planning within autonomous…