Engineering the Future: A Deep Dive into Remote Inspection and Reality Capture for Railway Infrastructure Digitalization
摘要
The growing importance of the railway sector demands efficient inspection and maintenance. Traditional methods are labor-intensive and costly, causing operational disruptions. Advancements in computer vision and deep learning offer transformative potential for railway infrastructure management. This involves integrating remote inspection with reality capture models, envisaging the Bridge Information Modeling (BrIM) and Digital Twins (DT), promising improved precision, efficiency, and safety in railway operations. The paper explores the evolution of railway inspection, remote inspection, and reality capture technologies, addressing challenges and charting future research. This holistic approach caters to the railway sector's expanding needs, ensuring safe and effective infrastructure management.