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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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.

A driving risk field modeling framework that incorporates constraints imposed by crash consequences, and provides an instantaneous risk score for a given driving state and supports the identification and ranking of high-severity crash scenarios conditional on crash occurrence is proposed.

Jun Liu, Hui-Qing Jin, Zhong-Xiang 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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