Richard Fehler — accepted AI-conference papers

2025

M3TR: A Generalist Model for Real-World HD Map Completion

Fabian Immel, Richard Fehler, Frank Bieder, Jan-Hendrik Pauls, Christoph Stiller

RA-L 2025

Autonomous vehicles rely on HD maps for their operation, but offline HD maps eventually become outdated.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 infer map information instead. Research on real map changes shows that oftentimes entire parts of an HD map remain unch

Cited by 2 Source ↗code ↗Scholar ↗

2025

SDTagNet: Leveraging Text-Annotated Navigation Maps for Online HD Map Construction

Fabian Immel, Jan-Hendrik Pauls, Richard Fehler, Frank Bieder, Jonas Merkert, Christoph Stiller

NeurIPS 2025poster

Autonomous vehicles rely on detailed and accurate environmental information to operate safely. High definition (HD) maps offer a promising solution, but their high maintenance cost poses a significant barrier to scalable deployment. This challenge is addressed by online HD map construction methods,…

Cited by 0 Source ↗code ↗Scholar ↗