Rapid and automated determination of rusted surface areas of a steel bridge for robotic maintenance systems

Data-driven scene parsing method for recognizing construction site objects in the whole image

“…The vision-based monitoring systems have been used in previous studies to monitor target objects for various purposes such as progress monitoring [12,14,16,31,32,[38][39][40][41][42], productivity analysis [8,18,20,26,43], safety management [24,[44][45][46][47][48][49], facility condition assessment [13,[50][51][52][53][54][55][56][57][58], and monitoring technology used on a construction site [10,19,21,22,[27][28][29][59][60][61][62][63][64]. Most of the studies have one or two recognizable object classes.…”

An approach for identifying classifiable regions of an image captured by autonomous robots in structural environments

“…surface samples provided in a visual standard guide, BS EN ISO 8501-1), the inspection performance can be affected when the image capture conditions are varied due to un-ideal robot poses selected to position the camera in a collision-free manner. Presently an autonomous bridge surface inspection robot [24] is capable of inspecting for rust on steel surfaces by using colour features which are not affected by surface appearance changes (e.g. focus quality, spatial resolution and perspective distortion).…”

Deep‐Learning‐Based Bughole Detection for Concrete Surface Image

“…In order to adapt to various background colors and overcome the effects of background noise or nonuniform illumination, Shen et al proposed a rust defect recognition method based on color and texture feature, which combines the Fourier transform and color image processing [17]. Son et al employed the J48 decision tree algorithm to rapidly and accurately determine rusted surface area [18]. In order to improve the detection accuracy of the rusted areas on steel bridges, Liao et al proposed a digital image recognition algorithm that consisted of the K-means method and the double-center-double-radius (DCDR) algorithm [19].…”