Review demonstrates enhanced volumetric accuracy, defect detection, and real-time processing in mining and construction operations, highlighting improved operational decision-making.
Unmanned aerial vehicle (UAV) systems, along with Artificial intelligence (AI) algorithms, are being increasingly advocated for management and decision-making processes in mining and construction industries. This paper presents a concise literature survey of recent works in this regard while drawing some useful insights. We mainly focus on areas like terrain modeling, volumetric analysis, autonomous inspection, hazard detection and integration with digital infrastructure. Our survey highlights that we can significantly improve volumetric accuracies and defect detection rates. Moreover, real-time processing can be attained that is very useful for operational deployment. The paper also presents some of the key challenges and emerging trends associated with AI-enabled drone systems in mining and construction.
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Ge et al. (2026) studied this question.
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