4 papers
How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept
Taoyuan Yu, Kui Wang, Zongdian Li +3
Intersections remain one of the most hazardous locations in urban road networks, where heterogeneous traffic participants and limited visibility frequently lead to severe traffic c…
Digital Twin-based Cooperative Autonomous Driving in Smart Intersections: A Multi-Agent Reinforcement Learning Approach
Taoyuan Yu, Kui Wang, Zongdian Li +3
Unsignalized intersections pose safety and efficiency challenges due to complex traffic flows and blind spots. In this paper, a digital twin (DT)-based cooperative driving system w…
Diffusion Models for Solving Inverse Problems via Posterior Sampling with Piecewise Guidance
Saeed Mohseni-Sehdeh, Walid Saad, Kei Sakaguchi +1
Diffusion models are powerful tools for sampling from high-dimensional distributions by progressively transforming pure noise into structured data through a denoising process. When…
Induced Covariance for Causal Discovery in Linear Sparse Structures
Saeed Mohseni-Sehdeh, Walid Saad
Causal models seek to unravel the cause-effect relationships among variables from observed data, as opposed to mere mappings among them, as traditional regression models do. This p…