Amidst the unprecedented demographic boom, coupled with climate change, more pressure
is being exerted on road networks. Asset managers are thus in search for time and cost …

The use of deep learning (DL) in civil inspection, especially in crack detection, has
increased over the past years to ensure long-term structural safety and integrity. To achieve …

To solve the problems of low accuracy and false counts of existing models in road damage
object detection and tracking, in this paper, we propose Road-TransTrack, a tracking model …

The automated monitoring of road pavement conditions is a challenging subject in intelligent
transportation. However, the existing studies mostly focus on extracting pavement damages …

Departments of transportation (DOTs) throughout the United States maintain vast bridge
databases that house information such as bridge services, dimensions, materials, inspection …

The intricate topography and numerous hazards of highland roads contribute to a
significantly higher incidence of traffic accidents on these roads compared to those on the …

Mine roads are highly vulnerable to deterioration as a result of substantial vehicular traffic
and excessive precipitation. Therefore, it is critical to incorporate safety monitoring of the …

The road systems connecting villages, cities, and countries stand as a pivotal transportation
infrastructure in modern society [1], and road maps are widely used in navigation, intelligent …

Parking space management systems help organize and optimize available parking spaces
for consumers, making the process of finding and using parking spaces more efficient …

Roadway distress detection is essential for ensuring a safe and comfortable driving
environment. However, given the irregular shape, small area size, and occasionally very …