Autonomous steering control is the principal task in the development of an intelligent transportation system. This research paper proposes a novel approach for vision based intelligent control of unmanned vehicles. The paper addresses the problems of accurate and efficient intelligent vehicle control by incorporating a well known evolutionary algorithm cAnt-Miner. The uniqueness of the proposed algorithm lies in its ability to accurately steer the vehicle on structured and unstructured roads in real-time, without requiring meticulous calculation. The algorithm first uses the road edges to evaluate the direction of the path through classification via cAnt-Miner. Subsequently, it steers the vehicle according to the particular direction using fuzzy logic controller. The synergy of the evolutionary algorithm, cAnt-Miner, for trajectory mining with fuzzy logic control enables autonomous steering with high efficacy. Experiments were carried out on our university's Intelligent DRIving System (IDRIS). Experimental results show that the proposed algorithm can steer the car automatically in real-time.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Road trajectory mining and autonomous steering control for vision-based unmanned vehicles


    Beteiligte:
    Rasheed, Umer (Autor:in) / Ahmed, Mariam (Autor:in) / Afridi, Muhammad Jamal (Autor:in) / Kunwar, Faraz (Autor:in)


    Erscheinungsdatum :

    2010


    Format / Umfang :

    6 Seiten, 19 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Vision-based Autonomous Road Vehicles

    Graefe, Volker / Kuhnert, Klaus-Dieter | Springer Verlag | 1992


    Autonomous road navigation for unmanned ground vehicles

    Speigle, Scott A. / McIngvale, Pat / Olson, Keith et al. | SPIE | 1995


    Vision-Based Trajectory Planning via Imitation Learning for Autonomous Vehicles

    Cai, Peide / Sun, Yuxiang / Chen, Yuying et al. | IEEE | 2019