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.· Vehicles· 0 citations
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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