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cs.RO2025

Safety-Critical Traffic Simulation with Guided Latent Diffusion Model

Mingxing Peng, Ruoyu Yao, Xusen Guo +3

Safety-critical traffic simulation plays a crucial role in evaluating autonomous driving systems under rare and challenging scenarios. However, existing approaches often generate u…

cs.RO2024

From Words to Wheels: Automated Style-Customized Policy Generation for Autonomous Driving

Xu Han, Xianda Chen, Zhenghan Cai +3

Autonomous driving technology has witnessed rapid advancements, with foundation models improving interactivity and user experiences. However, current autonomous vehicles (AVs) face…

cs.RO2024

EcoFollower: An Environment-Friendly Car Following Model Considering Fuel Consumption

Hui Zhong, Xianda Chen, PakHin Tiu +2

To alleviate energy shortages and environmental impacts caused by transportation, this study introduces EcoFollower, a novel eco-car-following model developed using reinforcement l…

cs.RO2024

CAV-AHDV-CAV: Mitigating Traffic Oscillations for CAVs through a Novel Car-Following Structure and Reinforcement Learning

Xianda Chen, PakHin Tiu, Yihuai Zhang +2

Connected and Automated Vehicles (CAVs) offer a promising solution to the challenges of mixed traffic with both CAVs and Human-Driven Vehicles (HDVs). A significant hurdle in such…

cs.RO2024

EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems

Xianda Chen, Xu Han, Meixin Zhu +4

In the realm of driving technologies, fully autonomous vehicles have not been widely adopted yet, making advanced driver assistance systems (ADAS) crucial for enhancing driving exp…