The manual approach to detect damage is not just time consuming but is also ineffective since detection of such damages requires consistent help from subject matter experts who have the ability to identify and differentiate different types of pavement failures. Artificial Intelligence supported by Deep Learning comes to the rescue. Deep learning integrated with ArcGIS plays a crucial role by automating the process. Transverse cracks run perpendicular to the direction of traffic flow.
Transverse cracks can start at the curb or shoulder, be contained in only one lane, or extend completely across the roadway. These cracks can also start in the middle of a lane or at the center line. Reflection of shrinkage crack or joint in underlying base common with Portland cement concrete or cemented materials.
Construction joint or shrinkage crack due to low temperatures or bitumen hardening in asphalt surfacing. Longitudinal cracks occur parallel to the direction of traffic flow. Cracks can be relatively short in length or run the entire length of a pavement section. A defect on the surface of the paved bitumen roads.
They generally have sharp edges and vertical sides near the top of the hole. Their growth is accelerated by free water collecting inside the hole.
The pavement then continues to disintegrate because of poor surface quality, weak spots in the base or sub grade, or because of severe alligator cracking. Most potholes are due to structurally related distress, and should not be confused with raveling and weathering. When holes are created by high-severity alligator cracking, they should be identified as potholes. The crumbling up of the asphalt layer as a result of the disintegration between the aggregate particles and the asphalt binder.
It causes roughness and skid resistance problem and may lead to pothole formation as the moisture infiltration increases because of the openings. It is identified as the slight depression along the wheel paths in a pavement. It is classified into two types. Mix rutting: when the rutting does not affect the subgrade and Subgrade Rutting: When the rutting is prominent in the subgrade. Water bleeding occurs when water seeps out of joints or cracks or through an excessively porous HMA layer.
The loss of bond between aggregates and asphalt binder that typically begins at the bottom of the asphalt layer and progresses upward.
When stripping begins at the surface and progresses downward it is usually called raveling. Subscribe to our Newsletter. Stay informed - subscribe to our newsletter.
Next, we use the state-of-the-art object detection method using convolutional neural networks to train the damage detection model with our dataset, and compare the accuracy and runtime speed on both, a GPU server and a smartphone. Finally, we show that the type of damage can be classified into eight types with high accuracy by applying the proposed object detection method.
The road damage dataset, our experimental results, and the developed smartphone application used in this study are made publicly available. This page introduces the road damage dataset we created.
Road Damage Dataset contains trained models and Annotated images. We also created the tutorial of Road Damage Dataset. In this tutorial, we will show you:. Please check RoadDamageDatasetTutorial. Our dataset is openly accessible by the public. Therefore, considering issues with privacy, based on visual inspection, when a person's face or a car license plate are clearly reflected in the image, they are blurred out.
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