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Jijun Wang

2 accepted papers

2026

DiffSemanticFusion: Semantic Raster BEV Fusion for Autonomous Driving via Online Map Diffusion

RA-L 2026

Autonomous driving requires accurate scene understanding, including road geometry, traffic agents, and their semantic relationships. In online HD map generation scenarios, raster-based representations are well-suited to vision models but lack geometric precision, while graph-based representations re

Cited by 1SourcecodeScholar
2026

UniUncer: Unified Dynamic–Static Uncertainty for End-To-End Driving

ICRA 2026poster

End-to-end (E2E) driving has become a cornerstone of both industry deployment and academic research, offering a single learnable pipeline that maps multi-sensor inputs to actions while avoiding hand-engineered modules. However, the reliability of such pipelines strongly depends on how well they hand…