We propose a weather recognition method from in-vehicle camera images that uses a subspace method to judge rainy weather by detecting raindrops on the windshield. "Eigendrops" represent the principal components extracted from raindrop images in the learning stage. Then the method detects raindrops by template matching. In experiments using actual video sequences, our method showed good detection ability of raindrops and promising results for rainfall judgment from detection results.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Rainy weather recognition from in-vehicle camera images for driver assistance


    Beteiligte:
    Kurihata, H. (Autor:in) / Takahashi, T. (Autor:in) / Ide, I. (Autor:in) / Mekada, Y. (Autor:in) / Murase, H. (Autor:in) / Tamatsu, Y. (Autor:in) / Miyahara, T. (Autor:in)


    Erscheinungsdatum :

    2005-01-01


    Format / Umfang :

    1179244 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Rainy Weather Recognition from In-Vehicle Camera Images for Driver Assistance

    Kurihata, H. / Takahashi, T. / Ide, I. et al. | British Library Conference Proceedings | 2005


    WEATHER-DEPENDENT DRIVER ASSISTANCE SYSTEM

    SIVAKUMAR RAVI SHANKAR | Europäisches Patentamt | 2024

    Freier Zugriff

    Weather-dependent driver assistance system

    Europäisches Patentamt | 2021

    Freier Zugriff

    Weather-dependent driver assistance system

    RAVI SHANKAR SIVAKUMAR | Europäisches Patentamt | 2023

    Freier Zugriff

    WEATHER-DEPENDENT DRIVER ASSISTANCE SYSTEM

    SIVAKUMAR RAVI SHANKAR | Europäisches Patentamt | 2022

    Freier Zugriff