activity
20202026
most citedSystematic Analysis of the Sensor Coverage of Automated Vehicles Using Phenomenological Sensor Models

21 citations · 52 across the 29 of their papers we have counts for

collaborators

30 papers

cs.RO2026

Mitigating Concept Drift in QoS Prediction for Teleoperation of Autonomous Vehicles Using Historic Data

Xiyan Su, Jianning Gao, Mahmoud Ashri +1

Teleoperation serves as the fallback solution to autonomous driving but reliable functions of the teleoperation require a certain amount of mobile network resources, which cannot b…

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…