53 citations · 89 across the 15 of their papers we have counts for
5 papers · 1 filter
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…
Multi-Agent Reinforcement Learning-based Cooperative Autonomous Driving in Smart Intersections
Taoyuan Yu, Kui Wang, Zongdian Li +2
Unsignalized intersections pose significant safety and efficiency challenges due to complex traffic flows. This paper proposes a novel roadside unit (RSU)-centric cooperative drivi…
Digital Twin-Empowered Cooperative Autonomous Car-sharing Services: Proof-of-Concept
Kazuma Nonomura, Kui Wang, Zongdian Li +2
This paper presents a digital twin-empowered real-time optimal delivery system specifically validated through a proof-of-concept (PoC) demonstration of a real-world autonomous car-…
Digital Twin-Enabled Blockage-Aware Dynamic mmWave Multi-Hop V2X Communication
Supat Roongpraiwan, Zongdian Li, Tao Yu +1
Millimeter wave (mmWave) technology in vehicle-to-everything (V2X) communication offers unprecedented data rates and low latency, but faces significant reliability challenges due t…