Pavement cracking detection system and method based on line structured light

Abstract

The invention discloses a pavement cracking detection system and a pavement cracking detection method based on line structured light. A near infrared laser vertically irradiates to a to-be-measured pavement, a camera takes a shoot on the light vertically irradiated to the to-be-measured pavement by the near infrared laser, light stripe images are collected and transmitted to a computer, and the computer calls an image transmission storage processing module to perform storage and pavement cracking detection, so that the problem that light stripes drift up and down along the scanning direction due to ups and downs of the pavement can be avoided, and the collection precision and the detection processing speed are high. In addition, the detection method comprises the steps that the crosswise contour line of the pavement is extracted from the light stripe image sequence, then the pavement depth image through which global three-dimensional contour information of the pavement is reflected is generated by using straight-line fitting and differentiating computation stitching, and the curve shape characteristics of cracks serve as the detection basis to be distinguished from other shape signals, thus cracking extraction is realized accurately, so that errors caused by ups and downs of the pavement or vibration of a vehicle can be effectively removed in real time, and the phenomena of false detection and missing of detection are decreased.

Description

technical field [0001] The invention relates to a detection system and method, in particular to a road surface crack detection system and detection method based on line structured light, belonging to the technical field of road surface detection based on computer vision. Background technique [0002] At present, in the field of road crack detection, the mainstream is to use the crack recognition method based on the two-dimensional image of the crack. The analysis is based on the difference between the illumination characteristics of the crack under certain lighting conditions and the road surface itself, but this is not the essence of the crack. Features; due to the inability to completely overcome the interference factors determined by the two-dimensional image sensing principle, such as lighting conditions, shadows, road oil stains, and dry and wet color differences during the acquisition process, the information obtained only through the two-dimensional image of the crack ...

AI Technical Summary

Problems solved by technology

The basic idea of ​​the above method is undoubtedly correct, but in the actual research process, some shortcomings of the method are also found: the NURBS surface used by the above method can be used in different road conditions when fitting the basic outline of the road surface and the impact of undulations. The effect is different, it is difficult to perfectly separate the basic outline and undulation of the road surface from the detailed outline information of the road surface, and the extraction of crack fragments through the high-frequency characteristics of cracks will cause many narrow cracks and shallow cracks to be missed.

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