A description is given of research in digital mapping and image understanding in the area of automated feature extraction from aerial imagery. The authors discuss a system for road tracking, ARF (A Road Follower), that uses multiple cooperative methods for extracting information about road location and structure from complex aerial imagery. This system is a multilevel architecture for image analysis that follows for cooperation among low-level processes and aggregation of information by high-level analysis components. Two low-level road tracking methods have been implemented: road-surface texture correlation and road-edge following. Each works independently to establish a model of the centerline of the road, its width, and other local properties.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Cooperative methods for road tracking in aerial imagery


    Additional title:

    Kooperative Verfahren der Strassenverfolgung aus Luftbildaufnahmen


    Contributors:


    Publication date :

    1988


    Size :

    11 Seiten, 14 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    AERIAL IMAGERY SYSTEMS AND METHODS

    GRAHAM LEWIS / GRAHAM NANCY / MORRIS DEREK et al. | European Patent Office | 2018

    Free access

    Aerial imagery systems and methods

    GRAHAM LEWIS / GRAHAM NANCY / MORRIS DEREK et al. | European Patent Office | 2021

    Free access

    Building and road detection from large aerial imagery [9405-20]

    British Library Conference Proceedings | 2015


    Robust Trajectory Tracking for Cooperative Aerial Load Transportation

    Abeshtan, Peyman / Saghafi, Fariborz | IEEE | 2024


    Deep Learning to Detect Road Distress from Unmanned Aerial System Imagery

    Truong, Long Ngo Hoang / Mora, Omar E. / Cheng, Wen et al. | Transportation Research Record | 2021