88 citations · 160 across the 15 of their papers we have counts for
Showing 2024 · cs.AIShow all
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cs.AI2024
GenFollower: Enhancing Car-Following Prediction with Large Language Models
Xianda Chen, Mingxing Peng, PakHin Tiu +4
Accurate modeling of car-following behaviors is essential for various applications in traffic management and autonomous driving systems. However, current approaches often suffer fr…
cs.AI2024
Generating and Evolving Reward Functions for Highway Driving with Large Language Models
Xu Han, Qiannan Yang, Xianda Chen +2
Reinforcement Learning (RL) plays a crucial role in advancing autonomous driving technologies by maximizing reward functions to achieve the optimal policy. However, crafting these…
cs.AI2024★ 61 cited
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…