Expert evaluation system for pothole defect detection

Premjeet Singh, Rashinda Wijethunga, Ayan Sadhu, Jagath Samarabandu

Abstract: Highlights•This study introduces an unsupervised approach for assessing pothole severity using vibration data.•The methodology incorporates IoT-enabled accelerometers facilitating scalable pavement monitoring.•A detailed performance comparison with a traditional wavelet-based changepoint algorithm is conducted.•The proposed system is validated using a full-scale study detecting pavement anomalies under realistic traffic conditions.•The adaptability of the proposed method is verified experimentally across varying test scenarios.