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@article{172476,
        author = {Pruthvi M and Laishram Shekherchandra Khuman and Shree Doddamani and Shankariri K S},
        title = {Detection & Estimation of Potholes using Geospatial & Machine Intelligence},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {3309-3315},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172476},
        abstract = {Road deterioration, characterized by issues such as potholes, cracks, and subgrade settlement, is on the rise due to weather fluctuations, including heavy rainfall and seasonal temperature variations attributed to global warming, as well as the use of conventional road construction techniques. This situation poses significant challenges for India. The traditional approaches to road surface management are becoming increasingly ineffective in light of the growing volume and condition of traffic on roadways, which continues to worsen daily. In India, there was a notable 50% increase in traffic accidents related to pothole issues in 2017 compared to previous years. Although numerous studies have been conducted on pothole repair, they often lack practical application. Therefore, it is essential to develop methods for the rapid detection of potholes with high accuracy and minimal cost.},
        keywords = {Potholes, Geo-tagging, QGIS.},
        month = {January},
        }