智能科学与技术学报2024，Vol.6Issue(1)：17-32,16.DOI:10.11959/j.issn.2096-6652.202404
具身智能驾驶:概念、方法、现状与展望
Embodied intelligent driving:concept,methods,the state of the art and beyond
摘要
Abstract
Embodied intelligence transcends the boundaries of traditional artificial intelligence by emphasizing the impor-tance of interaction between machines and the physical world,facilitating the development of intelligent entities that com-bine hardware and software to learn from and adapt to their environments,thereby solving real-world problems.Inspired by this philosophy,the concept and framework of embodied intelligent driving are introduced,aiming at integrating the idea of embodied intelligence into the development and application of autonomous vehicles.Through the continuous inter-action between physical agents,virtual agents,and real traffic scenes,intelligent driving systems can achieve precise per-ception,efficient execution,and autonomous evolution in complex scenes,enhancing the long-term adaptability of au-tonomous vehicles in open traffic environments.Based on the embodied intelligent driving framework,the relevant tech-nologies are summarize and the development status and existing problems of such technologies are analyzed.Further-more,thoughts and prospects in this field are demonstrated by exploring the important roles and application potential of virtual-real interactive data intelligence,foundation models and foundation intelligence,continuous learning and parallel intelligence.This paper is expected to promote innovative research and the application on embodied intelligent driving in a wider range of scenarios,and provide new ideas and solutions for the development of mobile robot systems such as in-telligent vehicles.关键词
具身智能/自动驾驶/具身感知/具身执行/具身进化Key words
embodied intelligence/autonomous driving/embodied perception/embodied execution/embodied evolution分类
信息技术与安全科学引用本文复制引用
沈甜雨,李志伟,范丽丽,张庭祯,唐丹丹,周美华,刘华平,王坤峰..具身智能驾驶:概念、方法、现状与展望[J].智能科学与技术学报,2024,6(1):17-32,16.基金项目
国家自然科学基金(No.62076020 （）
No.62120106005)The National Natural Science Foundation of China(No.62076020,No.62120106005) （No.62076020,No.62120106005）
