61 citations · 67 across the 5 of their papers we have counts for
5 papers
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…
MetaFollower: Adaptable Personalized Autonomous Car Following
Xianda Chen, Kehua Chen, Meixin Zhu +5
Car-following (CF) modeling, a fundamental component in microscopic traffic simulation, has attracted increasing interest of researchers in the past decades. In this study, we prop…
LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models
Mingxing Peng, Xusen Guo, Xianda Chen +2
To ensure safe driving in dynamic environments, autonomous vehicles should possess the capability to accurately predict lane change intentions of surrounding vehicles in advance an…
Data-driven Traffic Simulation: A Comprehensive Review
Di Chen, Meixin Zhu, Hao Yang +2
Autonomous vehicles (AVs) have the potential to significantly revolutionize society by providing a secure and efficient mode of transportation. Recent years have witnessed notable…
BEVGPT: Generative Pre-trained Large Model for Autonomous Driving Prediction, Decision-Making, and Planning
Pengqin Wang, Meixin Zhu, Hongliang Lu +5
Prediction, decision-making, and motion planning are essential for autonomous driving. In most contemporary works, they are considered as individual modules or combined into a mult…