Abstract: Automatic pavement crack segmentation has gained attention among researchers and transportation agencies over the past two decades. However, most existing algorithms using two-dimensional (2D) pavement intensity images ...

Abstract: Traffic signs are one of the important roadway assets. Transportation agencies are required to inventory sign assets, but current manual traffic sign inventory methods are labor-intensive and time-consuming. A generalized ...

Abstract: Video-log images are often used by state DOTs to manually or automatically extract roadway infrastructure information, including roadway geometry and signs. Poor quality images with lens debris are unacceptable and need ...

Abstract: Historical and in-service pavement layer data along with pavement maintenance, rehabilitation, and reconstruction (MR&R) history is critical information for developing a reliable and accurate pavement performance model ...

Abstract: Image detection and recognition algorithms are crucial for developing an intelligent sign inventory system using video log images. The technical challenge is to detect and recognize more than 670 different types of signs ...

Abstract: Horizontal curves play a critical role in roadway safety by providing a smooth transition between tangent sections. Because radii of horizontal curves are one of the most fundamental elements in roadway geometry design, ...

Abstract: Bridge engineers need to group bridges to determine adequate let projects based on their proximities, types of work, costs, and cost constraints for each clustered let project after bridges to be treated yearly are identified. ...

Abstract: The hundreds of traffic sign types on the road and their various shapes and colors make it difficult to develop a generalized method of traffic sign detection. Consequently, agencies performing a sign inventory must manually ...

Abstract: Geometric data in transportation, such as roadway geometry, are important for asset management and for safety analysis. Traditional roadway geometric data are measured in the field, which is time consuming, costly, and ...