Author

Bo-Lin Gao

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#artificial intelligence Preprint Sep 2026

Driving on Registers, Reasoning on Risk: Risk-Aware Occupancy for Register-Based End-to-End Autonomous Driving

Multimodal trajectory prediction improves behavioral coverage in end-to-end autonomous driving, but existing methods remain limited by sparse scene representations. Incomplete evidence leads to low-quality candidate generation and unreliable ranking among geometrically similar trajectories. On a register-based baseline...

Jia-Xing Chen, Heng-Duo Zou, Yu-Kai Qin et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Risk-Aware Occupancy for Safety-Oriented End-to-End Autonomous Driving

Conventional end-to-end driving systems model the environment with sparse objects and lane elements. While efficient, this paradigm discards planning-critical information in crowded and occluded scenarios, particularly for unstructured obstacles, ambiguous free space, and complex interactions. We propose risk-aware occ...

Jia-Xing Chen, Heng-Duo Zou, Yi-Ren Zhao et al. · 0 citations