The Concern regarding the nature of accidents has grown as the frequency of traffic incidents has increased. It happens frequently as a result of human mistake. In order to assist drivers, lane detection systems are currently being created with the primary aim of identifying lanes and warning drivers about potential lane departures. There are multiple techniques for detecting lanes, with many focusing on straight lanes. This paper's main goal is to examine the drawbacks of various lane detecting algorithms and suggest a solution that does away with them. This work uses artificial intelligence to recognize lanes using OpenCV, NumPy, and digital image processing (noise removal, edge detection, Hough transformation).


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Lane Detection for Self-Driving Cars Using AI


    Beteiligte:
    Banerjee, Pallab (Autor:in) / Thakur, Kanika (Autor:in) / Ambikesh (Autor:in) / Banerjee, Probal (Autor:in)


    Erscheinungsdatum :

    2023-08-25


    Format / Umfang :

    2124820 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Lane Line Detection for Self Driving Cars

    Mahajan, Semal / Kriplani, Lokesh / Dhanraj, Vishal Kumar et al. | IEEE | 2022


    Vehicle Detection and Lane Keep Assist System for Self-driving Cars

    Sri Harsha, Palepu Sai / Sriyapu Reddy, Cherishma Reddy / Venkata Sai, Tirumalasetty Nikhil et al. | IEEE | 2023


    GPU Implementation for Automatic Lane Tracking in Self-Driving Cars

    Yusuf, Ayomide / Alawneh, Shadi | British Library Conference Proceedings | 2019


    GPU Implementation for Automatic Lane Tracking in Self-Driving Cars

    Yusuf, Ayomide / Alawneh, Shadi | SAE Technical Papers | 2019