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Line‐laser‐based visual measurement for pavement 3D rut depth in driving state
Author(s) -
Hong Ziming,
Ai Qingsong,
Chen Kun
Publication year - 2018
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2018.5437
Subject(s) - rut , laser , line (geometry) , laser scanning , calibration , projector , pixel , measured depth , geology , optics , computer science , computer vision , materials science , mathematics , geometry , physics , asphalt , geophysics , composite material , statistics
This Letter develops a line‐laser‐based real‐time visual measurement method to inspect pavement rut depths. The detection vehicle equipped with line‐laser projector continuously sends, in its normal driving state, laser light onto the pavement, which is captured by a high‐resolution camera on the vehicle, thus a sequence of pavement rut laser line images are created. The pavement rut laser line image is transformed to the convexity index image, in which the peak points of the pavement rut laser line are rapidly sought to obtain the rut laser curve with a single‐pixel width. The relationship between pavement rut depth and the visual deformation value of measurement points on the rut laser curve is determined by the calibration blocks, and then the pavement three‐dimensional (3D) rut depths can be automatically measured, 3D rut depth curves and 3D rut surface can be reconstructed. Some experimental results verify the effectiveness of the proposed method.

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