生成语法
变压器
计算机科学
人工智能
人机交互
领域(数学分析)
机器学习
工程类
电气工程
数学分析
数学
电压
作者
Junping Zhang,Jian Feng Pu,Jianru Xue,Ming Zhu Yang,Xin Xu,Xiao Wang,Fei–Yue Wang
标识
DOI:10.1109/tiv.2023.3256982
摘要
Recently, a chat generative pre-trained transformer (ChatGPT) attracts widespread attention in the academies and industries because of its powerful conversational ability with human and its astonishing emergence ability such as admit mistakes, reject inappropriate problems. However, it is not easy to generalize ChatGPT into the field of intelligent vehicles because of its high computational cost, uncertain answers and decisions, and the difficulty of scenario generation for intelligent vehicles. To address these issues, we propose a novel framework, human-machine-augmented intelligent vehicles with generative pre-trained transformer. Under this framework, we discuss the potential, prospects, limitations and several typical applications of HiVeGPT in the domain of intelligent vehicles.
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