Pavement cracks detection and classification is essential for assessing the highway condition. Researchers have studied many valuable machine learning algorithms to solve pavement cracks detection and classification problems. This paper indicates the problems and challenges that faced by researchers, and summarizes and analyzes the development of pavement cracks detection and classification. This paper discusses the principle and research status of crack detection method based on traditional machine learning method, and also discusses the research status and advantages of crack identification method based on deep learning methods. Finally, the possible trends and opportunities are discussed for further research.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Towards Pavement Crack Detection and Classification Based on Machine Leaning Methods


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Wu, Meiping (Herausgeber:in) / Niu, Yifeng (Herausgeber:in) / Gu, Mancang (Herausgeber:in) / Cheng, Jin (Herausgeber:in) / He, Yuheng (Autor:in) / Wu, Mei (Autor:in) / Sun, Min (Autor:in) / Wang, Lu (Autor:in)

    Kongress:

    International Conference on Autonomous Unmanned Systems ; 2021 ; Changsha, China September 24, 2021 - September 26, 2021



    Erscheinungsdatum :

    18.03.2022


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Towards Pavement Crack Detection and Classification Based on Machine Leaning Methods

    He, Yuheng / Wu, Mei / Sun, Min et al. | British Library Conference Proceedings | 2022


    KSS leaning towards gas

    Online Contents | 2012



    Leaning vehicle and vehicle leaning unit

    ISHII HIROSHI / IWAMOTO TARO / NAKAJIMA TAKESHI et al. | Europäisches Patentamt | 2022

    Freier Zugriff

    LEANING VEHICLE AND VEHICLE LEANING UNIT

    ISHII HIROSHI / IWAMOTO TARO / NAKAJIMA TAKESHI et al. | Europäisches Patentamt | 2025

    Freier Zugriff