Pavement Crack Extraction Method from Mobile Laser Scanning Point Cloud

• Published in: Advances in Civil Engineering Vol. 2022; no. 1
• Main Authors: Phan, Anh Thu Thi, Huynh, Thi Ngoc
• Format: Journal Article
• Language: English
• Published: New York Hindawi 2022; John Wiley & Sons, Inc; Hindawi Limited; Wiley
• Subjects: Analysis; Automation; Civil engineering; Cracks; Data collection; Flaw detection; Inclination angle; Laser applications; Lasers; Machine learning; Mathematical analysis; Methods; Principal components analysis; Road surface; Roads; Roads & highways; Scanners; Scanning devices; Vehicles; Wavelet transforms
• ISSN: 1687-8086; 1687-8094
• DOI: 10.1155/2022/6317008

The automatic detection of cracks in the road surface is of great significance for maintaining the road surface to ensure the safety of moving vehicles. The Hokuyo UTM 30 LX 2D laser scanner in this study is used to observe the road surface containing two cracks and distress areas. As a result, dense point clouds are created. The road surface is automatically extracted from the point clouds based on the geometry of the two curb lines. The normal vector of the points is calculated based on the principal component analysis method. Points belonging to cracks and zones of distress are extracted from the intensity gradient and the inclination angle between the two normal vectors of the neighboring points and then converted to binary images. The crack edges are extracted based on the Sobel operator. Although salt-and-pepper spots due to crack points extraction using intensity gradient affect the definition of crack edges, especially small cracks, large cracks and distress areas are extracted clearly. Research results show that reflectance intensity and elevation variation combination lead to the efficiency of crack extraction and distress area.