Abstract
Unlike previous studies conducted in developed regions, this study highlights the adaptability of the AU20 system under Vietnam's mixed-traffic and geographically diverse conditions, filling a critical gap in the literature. Field studies examined the system’s accuracy in capturing detailed road features, bridge span geometry, and intersection data for BIM applications. The AU20 system achieved a point cloud density of thousands of points/m² and accuracy levels of ±2 cm RMSE across various operating platforms. This study presents a framework for integrating MTL data into BIM processes, enhancing project management, while demonstrating its alignment with digital transformation goals in transportation infrastructure.
Published Version
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