17 citations · 38 across the 13 of their papers we have counts for
13 papers
Evaluating Roadside Perception for Autonomous Vehicles: Insights from Field Testing
Rusheng Zhang, Depu Meng, Shengyin Shen +4
Roadside perception systems are increasingly crucial in enhancing traffic safety and facilitating cooperative driving for autonomous vehicles. Despite rapid technological advanceme…
MSight: An Edge-Cloud Infrastructure-based Perception System for Connected Automated Vehicles
Rusheng Zhang, Depu Meng, Shengyin Shen +3
As vehicular communication and networking technologies continue to advance, infrastructure-based roadside perception emerges as a pivotal tool for connected automated vehicle (CAV)…
Robust Roadside Perception: an Automated Data Synthesis Pipeline Minimizing Human Annotation
Rusheng Zhang, Depu Meng, Lance Bassett +3
Recently, advancements in vehicle-to-infrastructure communication technologies have elevated the significance of infrastructure-based roadside perception systems for cooperative dr…
ROCO: A Roundabout Traffic Conflict Dataset
Depu Meng, Owen Sayer, Rusheng Zhang +3
Traffic conflicts have been studied by the transportation research community as a surrogate safety measure for decades. However, due to the rarity of traffic conflicts, collecting…
Real-time Full-stack Traffic Scene Perception for Autonomous Driving with Roadside Cameras
Zhengxia Zou, Rusheng Zhang, Shengyin Shen +4
We propose a novel and pragmatic framework for traffic scene perception with roadside cameras. The proposed framework covers a full-stack of roadside perception pipeline for infras…
A hierarchical behavior prediction framework at signalized intersections
Zhen Yang, Rusheng Zhang, Henry X. Liu
Road user behavior prediction is one of the most critical components in trajectory planning for autonomous driving, especially in urban scenarios involving traffic signals. In this…
Using AI for Mitigating the Impact of Network Delay in Cloud-based Intelligent Traffic Signal Control
Rusheng Zhang, Xinze Zhou, Ozan K. Tonguz
The recent advancements in cloud services, Internet of Things (IoT) and Cellular networks have made cloud computing an attractive option for intelligent traffic signal control (ITS…
Leader selection in Vehicular Ad-hoc Networks: a Proactive Approach
Rusheng Zhang, Baptiste Jacquemot, Kagan Bakirci +6
With the rapid advancement in vehicle-to-vehicle (V2V) communications, there are growing interests in related fields to leverage V2V communications for different applications. A ro…
Partially Detected Intelligent Traffic Signal Control: Environmental Adaptation
Rusheng Zhang, Romain Leteurtre, Benjamin Striner +3
Partially Detected Intelligent Traffic Signal Control (PD-ITSC) systems that can optimize traffic signals based on limited detected information could be a cost-efficient solution f…
Using Ultra-Wideband Technology in Vehicles for Infrastructure-free Localization
Rusheng Zhang, Lin Song, Adhishree Jaiprakash +5
In this paper, we investigate using Ultra-Wideband (UWB) technology in vehicles for localization as well as other possible infrastructure-free applications. To that end, we first i…
Virtual Traffic Lights: System Design and Implementation
Rusheng Zhang, Frank Schmutz, Kyle Gerard +6
Traffic congestion is a daunting problem that is affecting the daily lives of billions of people across the world. Recently, a promising new traffic control scheme known as Virtual…
Simulation Study on Collaborative Content Distribution in Delay Tolerant Vehicular Networks
Rusheng Zhang, Bo Yu, Hariharan Krishnan
Modern vehicles are equipped with more and more sophisticated computer modules, which need to periodically download files from the cloud, such as security certificates, digital map…
Using Reinforcement Learning with Partial Vehicle Detection for Intelligent Traffic Signal Control
Rusheng Zhang, Akihiro Ishikawa, Wenli Wang +2
Intelligent Transportation Systems (ITS) have attracted the attention of researchers and the general public alike as a means to alleviate traffic congestion. Recently, the maturity…