The future of autonomous vehicles lies in the convergence of human-centric design and advanced AI capabilities. Autonomous vehicles of the future will not only transport passengers but also interact and adapt to their desires, making the journey comfortable, efficient, and pleasant. In this paper, we present a novel framework that leverages Large Language Models (LLMs) to enhance autonomous vehicles' decision-making processes. By integrating LLMs' natural language capabilities and contextual understanding, specialized tools usage, synergizing reasoning, and acting with various modules on autonomous vehicles, this framework aims to seamlessly integrate the advanced language and reasoning capabilities of LLMs into autonomous vehicles. The proposed framework holds the potential to revolutionize the way autonomous vehicles operate, offering personalized assistance, continuous learning, and transparent decision-making, ultimately contributing to safer and more efficient autonomous driving technologies.

翻译：未来自动驾驶车辆的发展在于以人为本的设计与先进人工智能能力的融合。未来的自动驾驶车辆不仅将承担运输乘客的任务，还将能够与乘客互动并适应其需求，使旅程更舒适、高效且愉悦。本文提出了一种新颖的框架，利用大型语言模型增强自动驾驶车辆的决策过程。通过整合大型语言模型的自然语言理解能力、上下文感知能力、专用工具的使用、推理协同以及自动驾驶车辆上各模块的协同行动，该框架旨在将大型语言模型的先进语言与推理能力无缝融入自动驾驶车辆中。该框架有望彻底改变自动驾驶车辆的操作方式，提供个性化辅助、持续学习与透明化决策，最终为更安全、更高效的自动驾驶技术做出贡献。