모바일 디바이스 기반 LiDAR 스캐너를 활용한 실내외 유리면 탐지 및 데이터 오류 특성 분석

초록

This study utilized a Smartphone-integrated LiDAR (Light Detection And Ranging) scanner to compare the point cloud characteristics of glass surfaces and walls in indoor and outdoor environments and to quantitatively analyze the error patterns occurring on glass surfaces. On glass surfaces, multipath reflections and scattering led to the generation of false points and an abnormal increase in point density in specific areas. In particular, when surrounding objects were present, the most frequent point density increased by approximately twofold, indicating that the presence of nearby objects influences point distribution. In outdoor environments, false point occurrences were more frequent, and the minimum point density on glass surfaces was about 87 times higher than indoors. When no surrounding objects were present, the density dropped to around 1 point/m², revealing the instability and distortion susceptibility of the laser signal. Overall, glass surfaces consistently exhibited higher point densities than walls, regardless of the environment. This study demonstrates the potential for extending smartphone LiDAR applications beyond indoor spaces by quantitatively analyzing performance differences across environmental conditions. Additionally, by comparing two distinct sites, the modeling performance variations were visualized and quantified, enhancing the reliability and applicability of the results.

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