3 papers
cs.CV2026
Robust 4D Driving Scene Reconstruction from Imperfect Visual Priors
Xiaoyun Dong, Qian Xu, Yun Wang +3
Reconstructing 4D driving scenes in the wild (e.g., internet and AI-generated videos) is critical for diverse autonomous driving simulation. While recent Gaussian Scene Graph (GSG)…
cs.RO2026
OmniSCS: Omni Safety-Critical Scenario Synthesis for Autonomous Driving via a Fully Editable Driving World
Xiaoyun Dong, Qian Xu, Yang Lu +3
The synthesis of safety-critical scenarios (SCS) and their evaluation through closed-loop simulations are crucial for developing robust autonomous driving systems. A key aspect of…
cs.CV2026
One World, Dual Timeline: Decoupled Spatio-Temporal Gaussian Scene Graph for 4D Cooperative Driving Reconstruction
Yulong Chen, Xiaoyun Dong, Haoyu Zhang +6
Reconstructing dynamic scenes from Vehicle-to-Infrastructure Cooperative Autonomous Driving (VICAD) data is fundamentally complicated by temporal asynchrony: vehicle and infrastruc…