53 citations · 89 across the 15 of their papers we have counts for
6 papers · 1 filter
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…
Transformer Architecture with Minimal Inference Latency for Multi-Modal Wireless Networks
Minsu Kim, Walid Saad, Kui Wang +3
Next-generation wireless networks are expected to leverage multi-modal data sources to execute various wireless communication tasks such as beamforming and blockage prediction with…
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…
Augmented Intelligence in Smart Intersections: Local Digital Twins-Assisted Hybrid Autonomous Driving
Kui Wang, Kazuma Nonomura, Zongdian Li +6
Vehicle-road collaboration is a promising approach for enhancing the safety and efficiency of autonomous driving by extending the intelligence of onboard systems to smart roadside…
Roadside Units Assisted Localized Automated Vehicle Maneuvering: An Offline Reinforcement Learning Approach
Kui Wang, Changyang She, Zongdian Li +3
Traffic intersections present significant challenges for the safe and efficient maneuvering of connected and automated vehicles (CAVs). This research proposes an innovative roadsid…
Smart Mobility Digital Twin Based Automated Vehicle Navigation System: A Proof of Concept
Kui Wang, Zongdian Li, Kazuma Nonomura +4
Digital twins (DTs) have driven major advancements across various industrial domains over the past two decades. With the rapid advancements in autonomous driving and vehicle-to-eve…