In this research study, will build a model to detect lane lines in real-time. Using the concepts of computer vision using the OpenCV library. The hottest topic in the industry is computer vision, similar to humans, computers can also see and take a decision. In case of autonomous cars, it will be an important decision to drive within the lane and not to cross the opposite lane. Using computer vision techniques in Python, identifying road lane lines in which autonomous cars must run. This will be a critical part of autonomous cars, as the self-driving cars should not cross its lane and should not go. To reduce the road accidents and follow the traffic rules properly.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Road Lane Line Detection for Autonomous Cars




    Publication date :

    2023-06-14


    Size :

    809337 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Lane Line Detection for Self Driving Cars

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


    Lane Localization for Autonomous Model Cars

    Maischak, Lukas | DataCite | 2014


    Road Lane Line Detection

    Prakash, Kolla Bhanu | Wiley | 2022


    Road Lane Line Detection

    Srivastava, Shreesh / Sheth, Bhavya / Shah, Pratham et al. | Springer Verlag | 2023