3D pavement macrotexture parameters from close range photogrammetry

ABSTRACT

The 3D modelling of pavement surface using digital close-range photogrammetry (CRP) was thoroughly analyzed in this work. The accuracy and precision of the technique were effectively measured. A digital 3D model generated by CRP was compared to the model generated by a laser scanner, considered here as a benchmark for precision. The precision, measured as per cent deviation from a computer-generated model, considered here as the true value, was found to be 3.4% and the accuracy, measured as per cent error, was found to be 4.2%. A study involving 85 locations and 5 different surface types was also conducted to compare the calculated macrotexture parameters to those obtained from the Sand Patch Test and British Pendulum Test (BPT). The creation of a 3D surface model allowed the investigation of parameters other than the averages of height and depth proposed in the current standards. Moreover, the process described in this work can be automated and with proper standardization could be used for management and decision making at the infrastructure's network level. The British pendulum did not show a high correlation to the 3D macrotexture parameters except for the Mean Texture Depth (MTD) calculated from the sand patch itself (R² = 59.7%).

KEYWORDS:

• Macrotexture
• close range photogrammetry
• 3D surface modelling
• asphalt pavement

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The authors gratefully acknowledge the financial support provided by CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico) and FUNCAP (Fundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico).