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S&M4222 Research Paper https://doi.org/10.18494/SAM5856 Published: November 19, 2025 A Data Processing Framework for Evaluating Smartphone LiDAR Accuracy and Point Cloud Correspondence [PDF] Shu-Hsien Huang, Chia-Hung Lai, Guan-Ming Lin, Shou-Jun Yang, Kun-Fei Cai, Xiang-Ying Lai, and Ywh-Leh Chou (Received July 23, 2025; Accepted October 27, 2025) Keywords: lidar, mobile depth sensing, SolidWorks-based CAD models, depth sensing
Modern smartphones have evolved beyond their original function as communication tools to serve as versatile digital assistants. In this study, we evaluate and compare the 3D scanning accuracy of light detection and ranging (LiDAR) sensors embedded in various smartphone models under diverse real-world conditions. To replicate real-world conditions, scanning experiments were conducted across different distances, lighting environments, and surface materials. The exported 3D models were subsequently analyzed using SolidWorks to quantify geometric deviations from the corresponding physical objects. Throughout the study, it was observed that the absolute error across all measured directions remained below 1.1 mm, while the relative error did not exceed 2.12%. These results indicate that smartphone LiDAR systems are capable of satisfying the accuracy demands for typical use cases such as dimensional assessment and 3D reconstruction.
Corresponding author: Xiang-Ying Lai![]() ![]() This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Shu-Hsien Huang, Chia-Hung Lai, Guan-Ming Lin, Shou-Jun Yang, Kun-Fei Cai, Xiang-Ying Lai, and Ywh-Leh Chou, A Data Processing Framework for Evaluating Smartphone LiDAR Accuracy and Point Cloud Correspondence, Sens. Mater., Vol. 37, No. 11, 2025, p. 4919-4927. |