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Performance Assessment of Reference Modelling Methods for Defect Evaluation in Asphalt Concrete.
Pauli Putkiranta1, Matti Kurkela1, Matias Ingman1
1Department of Built Environment, Aalto University, 02150 Espoo, Finland.
Sensors (Basel, Switzerland)
|December 28, 2021
Summary
Accurate road condition data is crucial for infrastructure maintenance. High-resolution photogrammetry and terrestrial laser scanning (TLS) offer reliable 3D road surface measurements, outperforming handheld scanners for defect analysis.
Area of Science:
- Civil Engineering
- Geomatics Engineering
- Infrastructure Management
Background:
- Deteriorating road conditions and maintenance deficits challenge infrastructure reliability, impacting safety and traffic flow.
- Improved road maintenance requires accurate, high-resolution data on road surface conditions.
- 3D mapping offers potential for large-scale road data collection and automated maintenance assessment.
Purpose of the Study:
- To evaluate close-range, static, high-resolution 3D measurement methods for road surfaces.
- To establish reliable reference data for the development of large-scale mobile road assessment techniques.
- To compare the performance of various 3D measurement instruments for road defect analysis.
Main Methods:
- Investigated terrestrial laser scanning (TLS), professional-grade and industrial photogrammetry, and structured-light handheld scanners.
- Established high-resolution photogrammetry as a reference method based on laboratory measurements and point density.
- Compared instrumentations using cross-sections, point-to-point distances, defect metric extraction, and qualitative processing assessment.
Main Results:
- Photogrammetric models achieved the highest resolutions (10-50 million points/m²).
- Photogrammetry and TLS demonstrated robust precision with consistent sub-millimeter offsets.
- Handheld scanners exhibited inconsistent performance in precision and data quality.
Conclusions:
- High-resolution photogrammetry and TLS are suitable for generating precise reference data for road condition assessment.
- The choice of instrumentation impacts data resolution, precision, and practical application in road maintenance.
- Further development of mobile 3D mapping methods requires reliable static reference measurements.
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