Computer vision in drone imagery for infrastructure management
Naveed Ejaz, Salimur Choudhury
Abstract
Tertiary studies are conducted to offer a comprehensive perspective on a subject by compiling secondary literature at a meta-level. This study appraises secondary studies in computer vision applications for infrastructure management using drone-captured imagery to investigate different dimensions, trends and quality of secondary studies. This tertiary study uses three databases to select studies published from 2018 to 2023. A total of 57 secondary studies are analyzed. Various demographic and temporal patterns are examined by assessing the prevalence of secondary studies concerning the year of publication, publishing platforms, and the nature of the synthesis carried out. The quality of the secondary studies is evaluated using the Database of Abstracts of Reviews of Effects (DARE) criteria. The thematic analysis identifies six major application areas in infrastructure management, with miscellaneous applications categorized separately. The findings of the study offer a comprehensive overview of technological advancements, challenges, and potential applications in infrastructure management using drone imagery.