For vehicles to have the option to drive without anyone else, they have to comprehend their encompassing outside as human being chauffeurs, so they can explore their aisle in roads, delay at gorge gestures and marching signals, also try not to hit snags, for example, different vehicles and people on foot. In light of the issues experienced in identifying objects via independent vehicles an exertion has been made to exhibit path location utilizing OpenCV library. The explanation and methodology for picking grayscale rather than shading, distinguishing edges in a picture, choosing locale of weal, embedding Hough Variation also picking basal directions ceased kateezijan facilitates has been examined.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Lane Detection Using Python


    Contributors:


    Publication date :

    2021-12-17


    Size :

    2245205 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Algorithm for Lane Detection Using Python

    R Kishor / C Archana / Talele Virendra et al. | DOAJ | 2022

    Free access

    Real Time Road Lane Detection using Computer Vision Techniques in Python

    Joy, Salna / S, Mamta B / Mukesh, Tejas B et al. | IEEE | 2022


    Implementation of lane detection algorithm for self-driving car on toll road cipularang using Python language

    Aziz, Mochamad Vicky Ghani / Prihatmanto, Ary Setijadi / Hindersah, Hilwadi | IEEE | 2017


    LANE ASSIGNMENT METHOD AND SYSTEM USING MULTI-LANE DETECTION AND LANE CHANGE DETECTION

    KIM JUN MO / JUNG HEE CHUL / LEE HYUNG SEOK | European Patent Office | 2015

    Free access

    STOP Sign Detection Using Python Programming

    Cătălina, Sîrbu / Dragoș, Macovei / Andrei, Rusu Dan et al. | Springer Verlag | 2020