Abstract: A key phase in the bridge design process is the selection of the structural system. Due to budget and time constraints, engineers typically rely on engineering judgment and prior experience when selecting a structural ...

Abstract: This paper provides a comparative study of two methods for reconstructing three-dimensional (3D) scenes from monocular two-dimensional (2D) images with respect to their applicability to robotic civil infrastructure inspection. ...

Abstract: This paper presents a computer vision framework supporting automated infrastructure damage detection, with a specific focus on surface crack detection in concrete. The approach presented is designed to provide a significant ...

Abstract: The ubiquity of smartphones has led to a variety of studies on how phone accelerometers can be used to assess road pavement quality. The majority of prior studies have emphasized supervised machine learning, assuming the ...

Abstract: This paper considers the viability of applying computer vision techniques for estimating the peak experienced seismic displacement of damaged bridge columns, for use in postdisaster triage assessment. The primary objective ...

Abstract: High serviceability of roadway pavements is crucial to well-functioning roadway networks. With time and use, the condition of these roadway elements degrades and maintenance or rehabilitation (M&R) is required to ensure ...