activity
20222026
collaborators

8 papers

cs.RO2026

CrashDiffuser: VLM-Guided Collision Intent Reasoning for Fine-Grained Safety-Critical Traffic Scenario Generation

Shucheng Zhang, Yuang Zhang, Bingzhang Wang +3

Generating safety-critical scenarios is essential for evaluating autonomous driving systems. However, existing generators primarily focus on inducing collisions and offer limited c…

cs.CV2026

TAU-R1: Visual Language Model for Traffic Anomaly Understanding

Yuqiang Lin, Kehua Chen, Sam Lockyer +12

Traffic Anomaly Understanding (TAU) is important for traffic safety in Intelligent Transportation Systems. Recent vision-language models (VLMs) have shown strong capabilities in vi…

cs.CV2025

Edge Assisted Multi-Camera Vehicle Tracking Framework for Real-Time and Scalable Deployment

Yuqiang Lin, Sam Lockyer, Shucheng Zhang +6

Cameras are a core sensing modality in modern intelligent transportation systems (ITS), providing rich visual information on road-user activities. Multi-Camera Vehicle Tracking (MC…

cs.CV2025

Diffusion^2: Dual Diffusion Model with Uncertainty-Aware Adaptive Noise for Momentary Trajectory Prediction

Yuhao Luo, Yuang Zhang, Kehua Chen +4

Accurate pedestrian trajectory prediction is crucial for ensuring safety and efficiency in autonomous driving and human-robot interaction scenarios. Earlier studies primarily utili…

cs.CV2025

From Camera-Based Sensing to Reasoning: A Comprehensive Review Toward Proactive Vulnerable Road User Safety

Shucheng Zhang, Yan Shi, Bingzhang Wang +6

Ensuring the safety of vulnerable road users (VRUs), such as pedestrians and cyclists, remains a critical challenge, as conventional infrastructure-based measures are often insuffi…

cs.AI2025

Deep Fictitious Play-Based Potential Differential Games for Learning Human-Like Interaction at Unsignalized Intersections

Kehua Chen, Ryan Feng Lin, Shucheng Zhang +1

Modeling vehicle interactions at unsignalized intersections is a challenging task due to the complexity of the underlying game-theoretic processes. Although prior studies have atte…

cs.AI2025

Large Language Models and Their Applications in Roadway Safety and Mobility Enhancement: A Comprehensive Review

Muhammad Monjurul Karim, Yan Shi, Shucheng Zhang +3

Roadway safety and mobility remain critical challenges for modern transportation systems, demanding innovative analytical frameworks capable of addressing complex, dynamic, and het…

cs.RO2022

AVstack: An Open-Source, Reconfigurable Platform for Autonomous Vehicle Development

R. Spencer Hallyburton, Shucheng Zhang, Miroslav Pajic

Pioneers of autonomous vehicles (AVs) promised to revolutionize the driving experience and driving safety. However, milestones in AVs have materialized slower than forecast. Two cu…