Method for identifying the locations of longitudinal seams based on LiDAR data detected inside shield tunnel

Abstract

After extracting the longitudinal seam (LS) LiDAR detected data inside shield tunnel, although most can be obtained, some are obscured by tunnel objects and scanning limitations . Additionally, some segment point clouds are misidentified as seams, leading to extraction inaccuracies. Therefore, this study proposes an inference method based on geometric information to identify the extracted LS point clouds to estimate the longitudinal seams’ locations that could not be extracted. Moreover, this method is applied for validation in a section of the Luoyang Subway Line 2 tunnel [1].

Developed an inference method based on geometric information for shield tunnel;

Application of proposed method to identify the locations longitudinal seams;

The proposed method is validated in a section of the Luoyang Subway Line 2 tunnel.