53 citations · 53 across the 10 of their papers we have counts for
11 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…
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…
Predicting Networks Before They Happen: Experimentation on a Real-Time V2X Digital Twin
Roberto Pegurri, Habu Shintaro, Francesco Linsalata +6
Emerging safety-critical Vehicle-to-Everything (V2X) applications require networks to proactively adapt to rapid environmental changes rather than merely reacting to them. While Ne…
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…
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-…
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…
Smart Mobility Digital Twin for Automated Driving: Design and Proof-of-Concept
Kui Wang, Zongdian Li, Tao Yu +1
During the past decade, smart mobility and intelligent vehicles have attracted increasing attention, because they promise to create a highly efficient and safe transportation syste…
Digital Twins for Autonomous Driving: A Comprehensive Implementation and Demonstration
Kui Wang, Tao Yu, Zongdian Li +3
The concept of a digital twin (DT) plays a pivotal role in the ongoing digital transformation and has achieved significant strides for various wireless applications in recent years…