Self driving cars have been the focus of several research groups due to the improvement in processing capabilities, and the feasibility to run sophisticated control algorithms in real time. We introduce two NMPC implementations able to guide the vehicle autonomously through acceleration and steering to track a predefined path with reference velocities accurately while paying attention to the comfort of the passengers and moreover capable of running in real time. The two controllers are compared in terms of control effort, accuracy and iteration times, Carsim is then used to show the ability of the controller to drive the vehicle.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A nonlinear model predictive controller for autonomous driving


    Beteiligte:
    Dawood, Murad (Autor:in) / Abdelaziz, Mohamed (Autor:in) / Ghoneima, M (Autor:in) / Hammad, S (Autor:in)


    Erscheinungsdatum :

    01.02.2020


    Format / Umfang :

    546560 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Cooperative Trajectory Planning for Autonomous Driving Using Nonlinear Model Predictive Control

    Viana, Icaro Bezerra / Kanchwala, Hussain / Aouf, Nabil | IEEE | 2019



    AUTONOMOUS DRIVING CONTROLLER AND AUTONOMOUS DRIVING CONTROL PROGRAM

    KUME TAKUYA / IZUMI KAZUKI | Europäisches Patentamt | 2023

    Freier Zugriff

    Model Predictive Longitudinal Control for Autonomous Driving

    Dahiwale, Priyanka B. / Chaudhari, Madhuri A. / Kumar, Rohit et al. | IEEE | 2023


    AUTONOMOUS DRIVING CONTROLLER AND AUTONOMOUS DRIVING CONTROL PROGRAM

    IZUMI KAZUKI / KUME TAKUYA | Europäisches Patentamt | 2024

    Freier Zugriff