This chapter aims at developing an efficient car module that makes the car drive autonomously from one point to another avoiding objects in its pathway through use of Artificial Intelligence. Further, the authors make use of visual cues to detect lanes and prevents vehicle from driving off road/moving into other lanes. The paper is a combination of two simulations; first, the self‐driving car simulation and second, real‐time lane detection. In this work, Kivy package present in Anaconda navigator is used for simulations. Hough transformation method is used for lane detection in “restricted search area.”


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    Titel :

    Obstacle Avoidance Simulation and Real‐Time Lane Detection for AI‐Based Self‐Driving Car


    Beteiligte:
    Niranjanamurthy, M. (Herausgeber:in) / Sheoran, Kavita (Herausgeber:in) / Dhand, Geetika (Herausgeber:in) / Kaur, Prabhjot (Herausgeber:in) / Eshwar, B. (Autor:in) / Sheoran, Harshaditya (Autor:in) / Pathak, Shivansh (Autor:in) / Rao, Meena (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2023-07-04


    Format / Umfang :

    14 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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