10 citations · 10 across the 4 of their papers we have counts for
3 papers · 1 filter
GuidedWAM: Training-Free Energy Guidance for World Action Models in Autonomous Driving
Xiyan Su, Finn Rasmus Schäfer, Hojun Lim +3
World action models (WAMs) for autonomous driving couple the driving policy and the visual world model in a single generative network whose objectives are fixed post-training. Cond…
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…
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…