Chinese Journal of Intelligent Science and Technology ›› 2024, Vol. 6 ›› Issue (1): 17-32.doi: 10.11959/j.issn.2096-6652.202404

• Embodied Intelligence and AI Agents After: Infrastructure Models and Foundation Intelligence • Previous Articles     Next Articles

Embodied intelligent driving: concept, methods, the state of the art and beyond

Tianyu SHEN1, Zhiwei LI1(), Lili FAN2, Tingzhen ZHANG1, Dandan TANG3, Meihua ZHOU4, Huaping LIU5, Kunfeng WANG1()   

  1. 1.College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
    2.School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
    3.School of Information Science and Engineering, Yanshan University, Qinhuangdao 066000, China
    4.Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing 100730, China
    5.Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
  • Received:2024-02-15 Revised:2024-03-03 Online:2024-03-15 Published:2024-03-15
  • Contact: Zhiwei LI, Kunfeng WANG E-mail:lizw@buct.edu.cn;wangkf@buct.edu.cn
  • Supported by:
    The National Natural Science Foundation of China(62076020)

Abstract:

Embodied intelligence transcends the boundaries of traditional artificial intelligence by emphasizing the importance of interaction between machines and the physical world, facilitating the development of intelligent entities that combine 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 interaction between physical agents, virtual agents, and real traffic scenes, intelligent driving systems can achieve precise perception, efficient execution, and autonomous evolution in complex scenes, enhancing the long-term adaptability of autonomous vehicles in open traffic environments. Based on the embodied intelligent driving framework, the relevant technologies are summarize and the development status and existing problems of such technologies are analyzed. Furthermore, 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 intelligent vehicles.

Key words: embodied intelligence, autonomous driving, embodied perception, embodied execution, embodied evolution

CLC Number: 

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