High precision localization for periodic tunnel inspections

In tunnel inspections, it is important to check for the progression of cracks and other deformations. The point clouds of tunnels are not reproducible due to accumulated errors in mobile mapping systems using GNSS/IMU navigation. Therefore, it has been impossible to confirm the progression of deform...

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Main Authors: Kiichiro Ishikawa, Taiga Odaka
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:SICE Journal of Control, Measurement, and System Integration
Subjects:
Online Access:http://dx.doi.org/10.1080/18824889.2024.2313819
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author Kiichiro Ishikawa
Taiga Odaka
author_facet Kiichiro Ishikawa
Taiga Odaka
author_sort Kiichiro Ishikawa
collection DOAJ
description In tunnel inspections, it is important to check for the progression of cracks and other deformations. The point clouds of tunnels are not reproducible due to accumulated errors in mobile mapping systems using GNSS/IMU navigation. Therefore, it has been impossible to confirm the progression of deformations with the original point cloud because the shapes of the acquired point clouds do not match. Therefore, the position of the point cloud has been corrected by surveying or by manual alignment of the point cloud. This was time-consuming and costly. In this paper, we propose a new positioning method for two-time difference comparisons based on a scan-matching technique that matches tunnel features and describe the evaluation results. The results of evaluation experiments show that the average error before alignment was 0.831 m. The proposed method achieves alignment with an average error of less than 0.040 m, which is unprecedentedly accurate.
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spelling doaj.art-858e280321e04505af9b2fdc75259f752024-03-07T14:28:19ZengTaylor & Francis GroupSICE Journal of Control, Measurement, and System Integration1884-99702024-12-01171425510.1080/18824889.2024.23138192313819High precision localization for periodic tunnel inspectionsKiichiro Ishikawa0Taiga Odaka1Nippon Institute of TechnologyNippon Institute of TechnologyIn tunnel inspections, it is important to check for the progression of cracks and other deformations. The point clouds of tunnels are not reproducible due to accumulated errors in mobile mapping systems using GNSS/IMU navigation. Therefore, it has been impossible to confirm the progression of deformations with the original point cloud because the shapes of the acquired point clouds do not match. Therefore, the position of the point cloud has been corrected by surveying or by manual alignment of the point cloud. This was time-consuming and costly. In this paper, we propose a new positioning method for two-time difference comparisons based on a scan-matching technique that matches tunnel features and describe the evaluation results. The results of evaluation experiments show that the average error before alignment was 0.831 m. The proposed method achieves alignment with an average error of less than 0.040 m, which is unprecedentedly accurate.http://dx.doi.org/10.1080/18824889.2024.2313819tunnel inspectionlocalization in gnss invisible environmentscan matchingmobile mapping systempoint cloud
spellingShingle Kiichiro Ishikawa
Taiga Odaka
High precision localization for periodic tunnel inspections
SICE Journal of Control, Measurement, and System Integration
tunnel inspection
localization in gnss invisible environment
scan matching
mobile mapping system
point cloud
title High precision localization for periodic tunnel inspections
title_full High precision localization for periodic tunnel inspections
title_fullStr High precision localization for periodic tunnel inspections
title_full_unstemmed High precision localization for periodic tunnel inspections
title_short High precision localization for periodic tunnel inspections
title_sort high precision localization for periodic tunnel inspections
topic tunnel inspection
localization in gnss invisible environment
scan matching
mobile mapping system
point cloud
url http://dx.doi.org/10.1080/18824889.2024.2313819
work_keys_str_mv AT kiichiroishikawa highprecisionlocalizationforperiodictunnelinspections
AT taigaodaka highprecisionlocalizationforperiodictunnelinspections