To solve the lack of artificial intelligence (AI) education platforms, an online aircraft control platform is designed in this paper. Compared with the traditional ways, our platform is cheaper and more intuitive, covers more theories, and is more interesting for students. This system is based on PX4, an open-source aircraft control framework. We emphasize three parts: 1. Estimation algorithms, applying AI theories to estimate the position and attitude of the aircraft by sensor data. 2. Control algorithms, using classic control theories, such as PID to control position and attitude. 3. simulator, which allows users to examine their works intuitively in a more safely and conveniently way. Leading the novice learners to study in this platform will make them have a better command of AI and control theories and raises their interest in studying in the future.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An Online Aircraft Control Platform for the Online Artificial Intelligence Education


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Yan, Liang (Herausgeber:in) / Duan, Haibin (Herausgeber:in) / Yu, Xiang (Herausgeber:in) / Yu, Yiang (Autor:in) / Kang, Fei (Autor:in) / Duan, Feng (Autor:in)


    Erscheinungsdatum :

    2021-10-30


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Artificial intelligence aircraft

    DING ZHIFENG | Europäisches Patentamt | 2020

    Freier Zugriff

    Hardware auxiliary platform for Internet online education

    YUE JIE | Europäisches Patentamt | 2020

    Freier Zugriff

    A ROS-Based Universal Robotic Platform for Artificial Intelligence Education

    Zhang, Lina / Yu, Yiang / Kang, Fei et al. | Springer Verlag | 2021


    A ROS-Based Universal Robotic Platform for Artificial Intelligence Education

    Zhang, Lina / Yu, Yiang / Kang, Fei et al. | TIBKAT | 2022