collaborators

10 papers

cs.CV2026

Is Energy Guidance All You Need? Training-Free Norm Injection for Driving World Models

Xiyan Su, Frank Diermeyer, Markus Lienkamp

Driving world models built on large video-diffusion backbones generate realistic scenes but are hard to control: enforcing a traffic norm typically means retraining the backbone or…

cs.HC2026

Towards a Joint Understanding of Remote Operation for Vehicles in Public Road Traffic

Elisabeth Shi, Maria-Magdalena Wolf, Nina Theobald +9

Sustained driving automation systems are envisioned to be used as the foundation for driverless mobility services. However, both researchers and practitioners acknowledge that curr…

cs.HC2026

Driving Through the Network: Performance and Workload Under Latency and Video Impairment

Ines Trautmannsheimer, Ahmed Azab, Frank Diermeyer

Teleoperation promises to extend the operational envelope of automated vehicles, yet it critically depends on network latency and video quality. We report a fixed-base driving-simu…

cs.HC2026

Beyond VMAF: Towards Application-Specific Metrics for Teleoperation Video

Ines Trautmannsheimer, Richard Grauberger, Frank Diermeyer

Automated driving has made remarkable progress, yet situations still arise where human intervention is necessary. Teleoperation provides a scalable solution to address such cases,…

cs.RO2026

Belief-Space Residual Risk for Automated Driving under Localization Uncertainty

Nijinshan Karunainayagam, Nils Gehrke, Frank Diermeyer

Residual risk metrics have recently been introduced to assess the safety implications of automated driving systems. Existing approaches typically assume a deterministic ego pose an…

cs.RO2026

Human-Aided Trajectory Planning for Automated Vehicles through Teleoperation and Arbitration Graphs

Nick Le Large, David Brecht, Willi Poh +3

Teleoperation enables remote human support of automated vehicles in scenarios where the automation is not able to find an appropriate solution. Remote assistance concepts, where op…