1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.RO2025★ 1 cited
Adaptive Evolution Factor Risk Ellipse Framework for Reliable and Safe Autonomous Driving
Fujiang Yuan, Zhen Tian, Yangfan He +4
In recent years, ensuring safety, efficiency, and comfort in interactive autonomous driving has become a critical challenge. Traditional model-based techniques, such as game-theore…
cs.LG2025
Physics-informed deep operator network for traffic state estimation
Zhihao Li, Ting Wang, Guojian Zou +2
Traffic state estimation (TSE) fundamentally involves solving high-dimensional spatiotemporal partial differential equations (PDEs) governing traffic flow dynamics from limited, no…
cs.LG2024★ 1 cited
Knowledge-data fusion oriented traffic state estimation: A stochastic physics-informed deep learning approach
Ting Wang, Ye Li, Rongjun Cheng +3
Physics-informed deep learning (PIDL)-based models have recently garnered remarkable success in traffic state estimation (TSE). However, the prior knowledge used to guide regulariz…