Survey on Artificial Intelligence for Vehicles (vol 1, pg 2, 2018)

被引:0
|
作者
Li, Jun [1 ]
Cheng, Hong [2 ]
Guo, Hongliang [2 ]
Qiu, Shaobo [1 ]
机构
[1] China FAW Corp Ltd R&D Ctr, Changchun 130000, Peoples R China
[2] Univ Elect Sci & Technol China, Ctr Robot, Chengdu 610000, Peoples R China
关键词
Artificial intelligence; Deep neural networks; Connected vehicles; Intelligent vehicles;
D O I
10.1007/s42154-018-0034-8
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper surveys the literature of Artificial Intelligence for Vehicles (AIV) and gives out the current status and next generation of AIV. The two branches of artificial intelligence, namely Practical Artificial Intelligence (PAI) and Advanced Artificial Intelligence (AAI) are rigorously reviewed. Two of the currently prevailing AIV use cases such as autonomous vehicles and connected vehicles are reviewed, and the key technologies in AIV such as world model, planner and decision maker, computing platform and canonical AV use cases are presented in the paper. The paper also serves as a guidance for the future development of artificial intelligence for vehicles.
引用
收藏
页码:390 / 390
页数:1
相关论文
共 50 条
  • [1] Survey on Artificial Intelligence for Vehicles
    Li, Jun
    Cheng, Hong
    Guo, Hongliang
    Qiu, Shaobo
    [J]. AUTOMOTIVE INNOVATION, 2018, 1 (01) : 2 - 14
  • [2] Correction to: Survey on Artificial Intelligence for Vehicles
    Jun Li
    Hong Cheng
    Hongliang Guo
    Shaobo Qiu
    [J]. Automotive Innovation, 2018, 1 (4) : 390 - 390
  • [3] Artificial intelligence applications in the development of autonomous vehicles: a survey
    Ma, Yifang
    Wang, Zhenyu
    Yang, Hong
    Yang, Lin
    [J]. IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 7 (02) : 315 - 329
  • [4] Artificial Intelligence Applications in the Development of Autonomous Vehicles:A Survey
    Yifang Ma
    Zhenyu Wang
    Hong Yang
    Lin Yang
    [J]. IEEE/CAA Journal of Automatica Sinica, 2020, 7 (02) : 315 - 329
  • [5] A Comprehensive Survey on Artificial Intelligence for Unmanned Aerial Vehicles
    Sai, Siva
    Garg, Akshat
    Jhawar, Kartik
    Chamola, Vinay
    Sikdar, Biplab
    [J]. IEEE OPEN JOURNAL OF VEHICULAR TECHNOLOGY, 2023, 4 : 713 - 738
  • [6] Artificial Intelligence for Edge Service Optimization in Internet of Vehicles: A Survey
    Xiaolong Xu
    Haoyuan Li
    Weijie Xu
    Zhongjian Liu
    Liang Yao
    Fei Dai
    [J]. Tsinghua Science and Technology, 2022, 27 (02) : 270 - 287
  • [7] Artificial Intelligence for Edge Service Optimization in Internet of Vehicles: A Survey
    Xu, Xiaolong
    Li, Haoyuan
    Xu, Weijie
    Liu, Zhongjian
    Yao, Liang
    Dai, Fei
    [J]. TSINGHUA SCIENCE AND TECHNOLOGY, 2022, 27 (02) : 270 - 287
  • [8] Data Science: Big Data, Machine Learning, and Artificial Intelligence (vol 15, pg 497, 2018)
    Carlos, Ruth C.
    Kahn, Charles E.
    Halabi, Safwan
    [J]. JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2018, 15 (05) : 819 - 819
  • [9] A Survey on Artificial-Intelligence-Based Internet of Vehicles Utilizing Unmanned Aerial Vehicles
    Shah, Syed Ammad Ali
    Fernando, Xavier
    Kashef, Rasha
    [J]. DRONES, 2024, 8 (08)
  • [10] Artificial metalloenzymes: Reversible catalyst anchoring (vol 1, pg 806, 2018)
    Okuda, Jun
    [J]. NATURE CATALYSIS, 2018, 1 (10): : 806 - 806