To reduce sideswipes and collision accidents involving two- and four-wheeled vehicles under mixed traffic flow conditions, we previously created a smartphone application (app) that predicts acceleration and driving lane behaviors of two-wheeled vehicles. In this system, vehicles are detected from road images taken by a smartphone camera, and vehicles positions on the road are estimated by our projection conversion algorithm. However, regarding that app, it is necessary to improve the accuracy of the vanishing point calculations in the camera images. Accordingly, in order to reduce calculation costs, we created a method that integrates road segmentation and vehicle detection to create a new scheme for detecting road edges and the vanishing point, even on roads without lane lines. These improvements will help maintain the accuracy of vanishing point calculations while facilitating their high real-time characteristics.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Improved Vanishing Point Accuracy by Integrating Vehicle Detection and Segmentation


    Contributors:


    Publication date :

    2022-06-05


    Size :

    731535 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Vanishing point detection

    Tai, A. / Kittler, J. / Petrou, M. et al. | British Library Online Contents | 1993


    PARALLEL LINE DETECTION METHOD USING VANISHING POINT

    KIM DONG HWAN / PARK SUNG KEE / YOO JU HAN | European Patent Office | 2015

    Free access

    Parallel Line Detection Method Using Vanishing Point

    European Patent Office | 2016

    Free access

    Simple road detection based on vanishing point

    Ziyu, C. / Zhen, H. | British Library Online Contents | 2014


    Line Clustering with Vanishing Point and Vanishing Line

    Minagawa, A. / Tagawa, N. / Moriya, T. et al. | British Library Conference Proceedings | 1999