Abstract:

With the advancement and innovation of technology, automobiles are evolving from traditional mobile transportation tools to intelligent mobile spaces and even intelligent beings. Intelligent cockpit is the main entrance to human-machine interaction. Beyond integrating functionality and entertainment, the development of Artificial Intelligence (AI), particularly general AI, poses numerous requirements for the cockpit, such as autonomy, adaptability, and personalization. To meet these demands, this paper designs a intelligent cockpit system based on large language model and agent, and outlines the technical implementation path of this system through a cloud-based architecture. Starting from application scenarios within the cockpit, this paper constructs a highly intelligent cockpit system with autonomy, adaptability, and personalization.

Key words: intelligent cockpit, large language model, agent, end-cloud binding