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    ARTICLE

    Deep Learning Method to Detect the Road Cracks and Potholes for Smart Cities

    Hong-Hu Chu1, Muhammad Rizwan Saeed2, Javed Rashid3,4,*, Muhammad Tahir Mehmood5, Israr Ahmad6, Rao Sohail Iqbal4, Ghulam Ali1

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1863-1881, 2023, DOI:10.32604/cmc.2023.035287 - 06 February 2023

    Abstract The increasing global population at a rapid pace makes road traffic dense; managing such massive traffic is challenging. In developing countries like Pakistan, road traffic accidents (RTA) have the highest mortality percentage among other Asian countries. The main reasons for RTAs are road cracks and potholes. Understanding the need for an automated system for the detection of cracks and potholes, this study proposes a decision support system (DSS) for an autonomous road information system for smart city development with the use of deep learning. The proposed DSS works in layers where initially the image of… More >

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