Two-camera vision technique for measuring pothole area and depth

Citations

WEB OF SCIENCE

5
Citations

SCOPUS

7

초록

Potholes caused by road surface wear and sinkholes caused by soil subsidence can lead to accidents and vehicle damage. Monitoring their area and depth for timely repairs and road maintenance is crucial to ensure road safety. The camera vision device uses advanced imaging techniques to determine the shape and size of potholes, calculating their area and estimating volume based on the depth and contour information gathered. This study compared the results from the camera vision device with those obtained through traditional manual methods. The system measurements achieved a margin of error within 5 %, making it a reliable alternative for field applications. Additionally, this paper highlights the effectiveness of camera vision technology in modernizing road maintenance, thus facilitating a fast, accurate, and reliable method for assessing pothole damage. The findings indicate that implementing this technology can greatly enhance the management and repair of road infrastructure, lower costs, and improve safety.

키워드

Pothole; Sinkhole; Camera vision; Road maintenance; Machine learning; PAVEMENT
제목
Two-camera vision technique for measuring pothole area and depth
저자
Park, Sung-Sik; Nguyen, Nhut-Nhut
DOI
10.1016/j.measurement.2025.116809
발행일
2025-04-15
유형
Article
저널명
Measurement: Journal of the International Measurement Confederation
권
247