Large Language Models for Human-like Autonomous Driving Decision Making: A Survey

Abstract

Survey on the integration of large language models into autonomous driving systems. Traces the evolution from rule-based and learning-based approaches to knowledge-driven systems powered by LLMs, covering perception, planning, control, and end-to-end frameworks. Foundation survey for the subsequent preference-learning line.