2 citations · 4 across the 7 of their papers we have counts for
8 papers
Behavioral Safety Assessment towards Large-scale Deployment of Autonomous Vehicles, Part I: Methodology
Henry X. Liu, Tinghan Wang, Xintao Yan +6
Autonomous vehicles (AVs) have significantly advanced in real-world deployment in recent years, yet safety continues to be a critical barrier to widespread adoption. Traditional fu…
Behavioral Safety Assessment towards Large-scale Deployment of Autonomous Vehicles
Henry X. Liu, Xintao Yan, Haowei Sun +7
Autonomous vehicles (AVs) have significantly advanced in real-world deployment in recent years, yet safety continues to be a critical barrier to widespread adoption. Traditional fu…
TeraSim: Uncovering Unknown Unsafe Events for Autonomous Vehicles through Generative Simulation
Haowei Sun, Xintao Yan, Zhijie Qiao +14
Traffic simulation is essential for autonomous vehicle (AV) development, enabling comprehensive safety evaluation across diverse driving conditions. However, traditional rule-based…
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…