Search
Now showing items 1-3 of 3
BSCS-Net: A Lightweight Segmentation Network for Automated Bridge Surface Crack Detection
Publisher: American Society of Civil Engineers
Abstract: AbstractTimely detection and repair of cracks play a critical role in ensuring traffic safety
during bridge operation and maintenance. This paper proposes a lightweight, end-to-end
segmentation network named bridge surface ...
JCNet-Based Multidistress and Surface Feature Detection in Pavement Images at Pixel Level
Publisher: American Society of Civil Engineers
Abstract: AbstractAutomated road maintenance depends on the accurate recognition of pavement distresses.
Traditional manual inspection methods have difficulty meeting the high-frequency and
high-precision detection for automated ...
YOLO-RAPD: Enhanced YOLOv8s-Based Automated Detection of Road Assets and Pavement Distress
Publisher: American Society of Civil Engineers
Abstract: AbstractThis paper introduces an object detection algorithm called you only look once-road
assets and pavement distress (YOLO-RAPD), developed to automatically identify road
assets and pavement distresses. YOLO-RAPD is an ...
CSV
RIS