5 citations · 5 across the 6 of their papers we have counts for
6 papers
SSP: An Event-Matched Syn2Sim2Phy Cross-Domain Evaluation Framework for Autonomous Driving VLA Models
Haojie Feng, Peizhi Zhang, Xinrui Zhang +7
Vision-language-action (VLA) models for autonomous driving jointly produce scene interpretation, language-based reasoning, and driving trajectories. Existing evaluations often use…
Video2Track: From Real-World Interaction Videos to Steerable Adversarial Closed-Track Testing for Automated Driving Systems
Mengjie Tian, Xinrui Zhang, Tianyu Li +6
Closed-track testing plays a fundamental role in the verification and validation of automated driving systems (ADS), particularly for safety-critical scenarios, by enabling reprodu…
An interactive enhanced driving dataset for autonomous driving
Haojie Feng, Xinrui Zhang, Mengjie Tian +8
Driving interaction data are important for training and evaluating autonomous drivingVision-Language-Action (VLA) models, but existing datasets contain limited denseinteraction sam…
A Communication-Latency-Aware Co-Simulation Platform for Safety and Comfort Evaluation of Cloud-Controlled ICVs
Yongqi Zhao, Xinrui Zhang, Tomislav Mihalj +10
Testing cloud-controlled intelligent connected vehicles (ICVs) requires simulation environments that faithfully emulate both vehicle behavior and realistic communication latencies.…
CICV5G: A 5G Communication Delay Dataset for PnC in Cloud-based Intelligent Connected Vehicles
Xinrui Zhang, Peizhi Zhang, Junpeng Huang +4
Cloud-based intelligent connected vehicles (CICVs) leverage cloud computing and vehicle-to-everything (V2X) to enable efficient information exchange and cooperative control. Howeve…
Real-world Troublemaker: A 5G Cloud-controlled Track Testing Framework for Automated Driving Systems in Safety-critical Interaction Scenarios
Xinrui Zhang, Lu Xiong, Peizhi Zhang +2
Track testing plays a critical role in the safety evaluation of autonomous driving systems (ADS), as it provides a real-world interaction environment. However, the inflexibility in…