In order to detect pavement crack information, people have to collect crack information outdoors and bring the data back to the laboratory to process in China, that is to say, data collecting and processing cannot be separated physically in the current pavement crack recognition system. With the development of the Internet of things, a pavement crack recognition system based on a wireless video sensor is designed in this paper. This system can detect pavement crack information in real-time, dynamically, while collecting data outside. It includes four parts: a simulation model of highway pavement crack, pavement crack information collection through a model vehicle, pavement crack information extraction, and pavement crack recognition based on an algorithm. In order to separate data collecting and processing physically, this system uses a wireless video sensor as the sensing layer and a 4G network as the network layer to detect pavement crack information, which can allow for more operation vehicles to join the detecting team. At the same time, transportation departments can manage pavement crack efficiently and intelligently to share the crack information by making full use of the Internet of things.


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    Title :

    Pavement Crack Recognition Based Wireless Video Sensors


    Contributors:
    Zeng, Linhui (author) / Shi, Xiaofa (author) / Li, Yichao (author) / Wang, Jianbo (author)

    Conference:

    15th COTA International Conference of Transportation Professionals ; 2015 ; Beijing, China


    Published in:

    CICTP 2015 ; 2286-2294


    Publication date :

    2015-07-13




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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