This paper summarizes the work of building the autonomous system including detection system and path tracking controller for a formula student autonomous racecar. A LIDAR-vision cooperating method of detecting traffic cone which is used as track mark is proposed. Detection algorithm of the racecar also implements a precise and high rate localization method which combines the GPS-INS data and LIDAR odometry. Besides, a track map including the location and color information of the cones is built simultaneously. Finally, the system and vehicle performance on a closed loop track is tested. This paper also briefly introduces the Formula Student Autonomous Competition (FSAC) in 2017.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Autonomous Driving System Design for Formula Student Driverless Racecar


    Beteiligte:
    TIAN, hanqing (Autor:in) / NI, Jun (Autor:in) / HU, Jibin (Autor:in)


    Erscheinungsdatum :

    01.06.2018


    Format / Umfang :

    1292970 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    AUTONOMOUS DRIVING SYSTEM DESIGN FOR FORMULA STUDENT DRIVERLESS RACECAR

    Tian, hanqing / Ni, Jun / Hu, Jibin | British Library Conference Proceedings | 2018



    Path Following Control for Autonomous Formula Racecar: Autonomous Formula Student Competition

    Ni, Jun / Hu, Jibin | British Library Conference Proceedings | 2017


    Formula SAE Racecar Suspension System Design

    Li, Jie / Yu, Shan-Hu / Zhang, Nan-Feng et al. | Tema Archiv | 2013