Pavement Crack Detection and Quantification Based on Scanning Grid and Projection Method

被引：1
|
作者：
Sun, Zhaoyun [1 ]
Pei, Lili [1 ]
Yuan, Bo [1 ]
Du, Yaohui [1 ]
Li, Wei [1 ]
Han, Yuxi [1 ]
机构：
[1] Changan Univ, Sch Informat Engn, Xian, Shaanxi, Peoples R China
来源：
PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON CIVIL ENGINEERING | 2022年
基金：
中国国家自然科学基金;
关键词：
Pavement cracks; Video image detection; Feature extraction; Crack quantification; CLASSIFICATION;
D O I：
10.1007/978-981-19-1260-3_24
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
Pavement cracks are difficult to monitor and quantify due to their complex texture and easy to be disturbed by noise and illumination. To solve this problem, a road crack monitoring and quantification method based on vehicle video is proposed. First, a method for extracting morphological features of dynamic road cracks is proposed. Combine automated vehicle-mounted equipment with GPS signals to obtain crack images with location information. Then, a calculation algorithm of crack parameters based on the combination of UK scanning grid and projection method is proposed, which uses the reverse engineering principle of perspective transformation to correct the image and divides the entire image into grid blocks. Finally, based on the analysis of different crack grades, the crack distress evaluation method is improved. The experimental results show that the proposed method has strong reliability and adaptability and achieves high-frequency and wide-range road detection.
引用
收藏
页码：273 / 281
页数：9
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