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Open access Aug 2026

Constraint- and Risk-Driven Search for Safety-Critical Scenarios in Autonomous Driving Simulation

Efficient discovery of safety-critical scenarios is a central problem in autonomous-driving simulation because safety-critical events are rare and the scenario parameter space is often high-dimensional. Direct random sampling can spend most of the simulation budget on samples that are weakly relevant, physically unreac...

Deng Pan, Bin Lu, Xiaoji Zhou et al. · 0 citations
Preprint Aug 2026

VTRQ: Enabling Verifiable Trajectory Range Queries in Hybrid-Storage Blockchains

Due to their increasingly large volumes, outsourcing of trajectory storage and querying to third-party service providers has become attractive. However, in such outsourced environments, service providers may return incorrect, e.g., incomplete, tampered, or invalid query results, making verifiability of query results an...

Zhong-Ming Yao, Jun-Chang Xin, Yumeng Song et al. · 1 citation

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