The architecture, engineering and construction (AEC) industry is experiencing a
technological revolution driven by booming digitisation and automation. Advances in …

This review gives an overview of the development of machine learning in geoscience. A
thorough analysis of the codevelopments of machine learning applications throughout the …

Ground penetrating radar (GPR) has been widely used for detection and localization of
reinforced steel bar (rebar) in concrete in a non-destructive way. However, manual …

Affected by soil erosion and material deterioration, road subsurface is prone to distress such
as cavities, water-rich, and cracks. Ground penetrating radar (GPR), as a real-time …

The problem of automatically recognizing and fitting hyperbolae from ground-penetrating
radar (GPR) images is addressed, and a novel technique computationally suitable for real …

The non-destructive evaluation (NDE) of civil infrastructure has been an active area of
research in recent decades. The traditional inspection of civil infrastructure mostly relies on …

Picking rebars manually in the data from ground penetrating radar (GPR) surveys of
concrete bridge decks is time consuming and labor intensive. This paper presents an …

In RadarCat we present a small, versatile radar-based system for material and object
classification which enables new forms of everyday proximate interaction with digital …

This paper presents a solution to solve the car detection and counting problem in images
acquired by means of unmanned aerial vehicles (UAVs). UAV images are characterized by …

Ground-penetrating radar (GPR) is a powerful and rapidly maturing technology for
subsurface threat identification. However, sophisticated processing of GPR data is …