Deep machine learning approach to develop a new asphalt pavement condition index
Published: 03/12/2020
By: Hamed Majidifard, Yaw Adu-Gyamfi, William G. Buttlar
Publisher: Elsevier
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Highlights
- The first pavement image dataset that contains wide variety of pavement distresses.
- The model not only detects various distresses but also quantify their severity.
- Predictive models developed to rank pavement conditions based on detected cracks.
- The models eliminated human error from the pavement condition evaluation process.
- Two GPS coordinates are needed to evaluate the pavement condition of pavement.