Efficacy of Autonomous Vehicle’s Adaptive Decision-Making Based on Large Language Models Across Multiple Driving Scenarios

Understanding how large language models (LLMs) generalize across diverse traffic scenarios is critical for advancing autonomous driving systems. While previous studies have validated LLMs’ potential in specific driving tasks, evaluations of their scenario adaptability remain limited. This...

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Bibliographic Details
Main Authors: Guanzhi Xiong, Siyang Liu, Yihong Yan, Qile Li, Hangze Li
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/11039763/
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