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Abstract

Summary

Unmanned Aerial Vehicle (UAV) systems, or drones, have gained prominence in surveying due to their efficiency and accessibility advantages. Employed with computer vision algorithms, they reconstruct accurate 3D models, transforming data acquisition. Although commonplace for inspections, monitoring, and controls, their use in infrastructure measurements remains limited. This study addresses this gap, focusing on accuracy assessment. Assessing accuracy requires considering parameters during both survey and processing phases. This research aims to predict the accuracy of 3D reconstruction from UAV surveys using commercial software (Agisoft Metashape). By analyzing key parameters, we establish a relationship to anticipate survey accuracy based on predefined choices. This study advances UAV-based infrastructure measurement accuracy, offering insights for better decision-making and precision in the field.

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/content/papers/10.3997/2214-4609.2023510029
2023-10-02
2025-05-23
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