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Machine Learning for Crack Detection: Review and Model Performance Comparison
Publisher: ASCE
Abstract: With the advancement of machine learning (ML) and deep learning (DL), there is a great opportunity to enhance the development of automatic crack detection algorithms. In this paper, the authors organize and provide up-to-date ...
Multiclass Transportation Safety Hardware Asset Detection and Segmentation Based on Mask-RCNN with RoI Attention and IoMA-Merging
Publisher: ASCE
Abstract: Transportation assets, including retaining walls, noise barriers, rumble strips, guardrails, guardrail anchors, and central cable barriers, are important roadside safety hardware and geotechnical structures. They need to ...