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Robust Pothole Detection Using YOLOv5 and Optimized Datasets for Intelligent Transportation Systems | Synapse
March 3, 2026
Robust Pothole Detection Using YOLOv5 and Optimized Datasets for Intelligent Transportation Systems
CA
Chanchal Ahlawat
RK
Rachit Khurana
ST
Shivani Tufchi
Bennett University
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Key Points
The outcome reveals effective pothole detection through a robust algorithm.
Key evidence shows a detection accuracy of 92% using optimized datasets.
Observation combines YOLOv5 and tailored datasets to enhance transportation safety.
Supports the integration of advanced detection methods in smart city infrastructures.
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Ahlawat et al. (Tue,) studied this question.
synapsesocial.com/papers/69a761b7c6e9836116a2fc5f
https://doi.org/https://doi.org/10.1007/s13177-026-00630-z
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