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.


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    Title :

    Towards Pavement Crack Detection and Classification Based on Machine Leaning Methods


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wu, Meiping (editor) / Niu, Yifeng (editor) / Gu, Mancang (editor) / Cheng, Jin (editor) / He, Yuheng (author) / Wu, Mei (author) / Sun, Min (author) / Wang, Lu (author)

    Conference:

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



    Publication date :

    2022-03-18


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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