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iWatchRoad system uses YOLO to detect and map potholes for smart cities

Researchers have developed iWatchRoad, an end-to-end system designed for the scalable detection and geospatial visualization of potholes. The system utilizes a fine-tuned YOLO model for real-time pothole identification and an OCR module to extract timestamps from dashcam footage. This data is then synchronized with GPS logs to accurately geotag detected potholes, with all information visualized on a user-friendly web interface using OpenStreetMap. AI

影响 Provides a cost-effective and scalable tool for urban and rural road management, improving safety and maintenance planning.

排序理由 This is a research paper detailing a new system for pothole detection.

在 arXiv cs.CV 阅读 →

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iWatchRoad system uses YOLO to detect and map potholes for smart cities

报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Rishi Raj Sahoo, Surbhi Saswati Mohanty, Subhankar Mishra ·

    iWatchRoad: Scalable Detection and Geospatial Visualization of Potholes for Smart Cities

    arXiv:2508.10945v2 Announce Type: replace Abstract: Potholes on the roads are a serious hazard and maintenance burden. This poses a significant threat to road safety and vehicle longevity, especially on the diverse and under-maintained roads of India. In this paper, we present a …