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 ...

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 ...

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 ...

Abstract: AbstractThis paper proposes an efficient and robust model named bridge crack segmentation network (BCS-Net), tailored for high-precision segmentation of surface cracks on concrete bridges. BCS-Net adopts an encoder-decoder ...