Road-lane recognition is one of the key technologies utilized in the intelligent transport system, a sophisticated road traffic information system in Japan. In this paper, we take a general view of road-lane recognition methods that use image processing with reference to the recognition frames of capturing, conversion, classification and interpretation. While these recognition methods employ a bottom-up processing approach, we believe a top-down processing approach based on prior knowledge of the recognition target will play a more important role in the future. One of the purposes of road-lane recognition in rear-end collision avoidance system (RCAS) is to determine whether the vehicle in front is in the same lane or not. As a solution to that question, we introduce a network type fusion method, which divides a recognition process into modules connected in a network and then uses the changes of state obtained in mutual tests to determine the vehicle's position relative to the road lane.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Road lane recognition system for RCAS


    Contributors:
    Yamada, K. (author) / Ito, T. (author) / Nishioka, K. (author)


    Publication date :

    1996-01-01


    Size :

    681427 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Road Lane Recognition System for RCAS

    Yamada, K. / Ito, T. / Nishioka, K. et al. | British Library Conference Proceedings | 1996


    RCAS RAILROAD COLLISION AVOIDANCE SYSTEM

    NEWLOVE ROD J / NEWLOVE DON C | European Patent Office | 2016

    Free access

    Preceding Vehicle and Road Lanes Recognition Methods for RCAS Using Vision System

    Ito, T. / Yamada, K. / IEEE; Industrial Electronics Society | British Library Conference Proceedings | 1994