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14 February 2020 A novel dynamic test method of asphalt concrete permeability based on machine vision
Xin Yuan, Genqiang Jing, Dayi Lu, Lu Peng
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Proceedings Volume 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 114320U (2020) https://doi.org/10.1117/12.2537439
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China
Abstract
The permeability coefficient (PCOEF) is an important indicator to characterize the performance of asphalt concrete pavement. The dynamic PCOEF is more helpful to understand the permeability performance of the asphalt concrete in comparison to the traditional average PCOEF. A method for dynamically testing the permeability coefficient of asphalt concrete is proposed. In this method, the camera is placed at a suitable position to ensure continuously imaging the water level. The images that record the water level changes are saved and processed in the runtime. Then, by mapping the water level positions to the capacities and recording the corresponding time, the real-time PCOEF can be calculated at each point-in-time. The experimental results show that the dynamic PCOEF for a certain specimen with a PCOEF of 531mL/min by traditional method can vary between 443-630 mL/min. The results also demonstrate that the proposed method is useful for the research of dynamic performance of asphalt concrete under rainy conditions.
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Xin Yuan, Genqiang Jing, Dayi Lu, and Lu Peng "A novel dynamic test method of asphalt concrete permeability based on machine vision", Proc. SPIE 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 114320U (14 February 2020); https://doi.org/10.1117/12.2537439
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KEYWORDS
Image processing
Image segmentation
Image filtering
Machine vision
Head
Image acquisition
Roads
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