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Cross‐section positioning based on a dynamic MLS tunnel monitoring system
Author(s) -
Du Liming,
Zhong Ruofei,
Sun Haili,
Liu Yujiao,
Wu Qiong
Publication year - 2019
Publication title -
the photogrammetric record
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.638
H-Index - 51
eISSN - 1477-9730
pISSN - 0031-868X
DOI - 10.1111/phor.12287
Subject(s) - track (disk drive) , odometer , cross section (physics) , mobile mapping , computer science , section (typography) , engineering , real time computing , simulation , point cloud , computer vision , mechanical engineering , operating system , physics , quantum mechanics
The number of tunnels is increasing sharply, especially in China, due to the development of urban rail transit networks. It is thus crucial to study rapid structural deformation detection methods for tunnels in operation. A dynamic tunnel monitoring system can directly obtain cross sections. However, using only odometers to locate the cross sections along the track of a tunnel results in insufficient accuracy. Furthermore, the measured cross sections are all in local coordinate systems, providing no indication of curved tunnels and restricting 3D display capabilities. This paper focuses on a relative positioning method based on mobile laser scanning to improve the accuracy, together with a unified positioning method to relate the measured cross sections in a single system. The accuracy and applicability of the proposed methods are verified by experiments which demonstrate that the solutions can fully meet accuracy requirements and 3D display purposes.