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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Zeyang Cheng

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Aug 2026

Generating risk scenarios adverse to cooperative vehicle-infrastructure perception: An optimization-based framework.

Existing approaches for concrete scenario generation and assessment primarily focus on trajectory-level interactions while neglecting physical perception constraints, such as sensor field-of-view limitations and occlusions from surrounding objects, leading to unrealistic risk representations. To fill this gap, this stu...

Yang Ma, Ming-Yuan Li, Ye Li et al. · 0 citations
Aug 2026

A consequence-aware driving risk field framework with data-driven calibration for high-risk scenario identification.

Driving risk is a dynamically evolving process arising from the coupled effects of traffic interactions, the road environment, and driving behavior. Existing traffic risk assessment methods largely rely on crash outcomes or localized surrogate safety measures, making it difficult to obtain a unified risk representation...

Jun Liu, Hui-Qing Jin, Zhongxiang Feng et al. · 0 citations
Review Open access Aug 2026

Driver State Monitoring Systems: A Comprehensive Review Bridging Academic Research and Industrial Deployment

This framework outlines a potential pathway for advancing DSM technology toward more proactive and personalized intelligent assistance, while acknowledging that realizing this transition will require sustained interdisciplinary effort.

Xiuwei Zhang, Zhong-Xiang Feng, Zeyang Cheng et al. · 0 citations

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