In recent years, with the rapid development of artificial intelligence, vehicles are gradually moving towards our life from “manned” to “driverless”. However, there is still a long way to go to realize driverless vehicles in the real sense. This paper studies one of the key areas of driverless vehicles, that is, driverless vehicle motion control, and takes driverless vehicles with front wheel steering as the research object, According to the vehicle longitudinal dynamics model, transverse dynamics model and transverse longitudinal comprehensive dynamics model, the longitudinal, transverse and transverse longitudinal comprehensive controllers are designed respectively, and the actual motion control of driverless vehicle is simulated step by step. In this project, we will develop a vehicle networking technology that can be applied to driverless new energy vehicles. The main purpose of this study is to provide an effective communication system for driverless new energy vehicles by using existing wireless technologies, such as WiFi and Bluetooth. It will also enable driverless cars to operate in a variety of environments, including bad weather, night driving and traffic congestion.


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    Title :

    Motion Control of Driverless New Energy Vehicle Based on Vehicle Networking Technology


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Hung, Jason C. (editor) / Yen, Neil Y. (editor) / Chang, Jia-Wei (editor) / Zhang, Yi (author) / Sun, Jie (author)

    Conference:

    International Conference on Frontier Computing ; 2022 ; Shimane, Japan July 12, 2022 - July 15, 2022


    Published in:

    Frontier Computing ; Chapter : 184 ; 1416-1423


    Publication date :

    2023-05-24


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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