研究目的
To improve the precision of traditional binocular reconstruction technology and better serve the traffic safety by introducing laser line constraint and establishing three different matching modes.
研究成果
The introduction of laser line constraint improves the precision for both overall test and single point test. Among the three matching modes, the region segmentation matching mode has the best measurement effect, followed by the enhanced target line, and the default color is the worst. The region segmentation matching mode achieves good test results with the highest resolution in the horizontal direction reaching the pixel level with the running time of only 4.9s, which meets the requirement of pavement texture detection using for skid resistance evaluating.
研究不足
The test data are all obtained based on laboratory tests, and the detection results under different lighting conditions, road vibration, surface pollution and other specific conditions in actual engineering needs to be further studied and analyzed. Moreover, the comparison with the common pavement texture testing method needs further verification in the future.
1：Experimental Design and Method Selection:
The study introduces laser line constraint to improve the traditional binocular reconstruction algorithm, establishing three different matching modes: default color, enhanced target line, and region segmentation.
2：Sample Selection and Data Sources:
Road field drilling core samples were cut into φ10cm×3cm specimens for testing.
3：List of Experimental Equipment and Materials:
The improved binocular reconstruction test system includes a bracket with guide rail, binocular camera, reinforcing light source, movable slider, linear laser transmitter, and a desktop computer.
4：Experimental Procedures and Operational Workflow:
The process involves turning on and adjusting the illumination intensity, calibrating the binocular camera, capturing images under laser line constraint, separating and correcting the images, removing the background, and performing stereo matching and 3D reconstruction.
5：Data Analysis Methods:
The study compares the test results of 3D texture morphology under different algorithms using the 3D texture morphology measurement accuracy evaluation device.
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