3 papers
cs.CV2026
FlowSim: Rendering-Free Closed-Loop Simulation for Evaluating End-to-End Driving Systems
Hanfeng Wu, Alvaro Marcos-Ramiro, Michael Schmidt +1
Closed-loop evaluation of end-to-end (E2E) driving systems typically relies on generating sensor observations and re-processing them through the perception encoder, introducing sub…
cs.CV2025
Closing the Navigation Compliance Gap in End-to-end Autonomous Driving
Hanfeng Wu, Marlon Steiner, Michael Schmidt +2
Trajectory-scoring planners achieve high navigation compliance when following the expert's original command, yet they struggle at intersections when presented with alternative comm…
cs.CV2023
Dynamic LiDAR Re-simulation using Compositional Neural Fields
Hanfeng Wu, Xingxing Zuo, Stefan Leutenegger +3
We introduce DyNFL, a novel neural field-based approach for high-fidelity re-simulation of LiDAR scans in dynamic driving scenes. DyNFL processes LiDAR measurements from dynamic en…