Tunnel Cross-Section Measurement System Using a Mobile Mapping System

Author:

Ishikawa Kiichiro, ,Takiguchi Jun-ichi,Amano Yoshiharu,Hashizume Takumi,Fujishima Takashi, ,

Abstract

This paper describes a tunnel cross-section measurement system using a mobile mapping system (MMS). The MMS features a GPS/ Dead Reckoning (DR) combined navigation system, a three-axis GPS-Gyro/ Inertial Measurement Unit (IMU), laser scanners, cameras, and the Network-based Positioning Augmentation Services (PAS). As GPS cannot be used in the tunnel, so the position estimation is done using IMU and Odometer. In this paper the result of comparison between the conventional tunnel cross-section measurement methods using 3D laser scanner and total station, and the proposed method using the MMS is described. And the examination result of the MMS's positioning accuracy that doesn't use GPS is described. The evaluation result proves that the tunnel cross-section measurement accuracy using the MMS is 7.0 mm, the MMS's measurement accuracy is not different from conventional method using a 3D laser scanner and a total station. The MMS tunnel measurement efficiency is also confirmed in this paper.

Publisher

Fuji Technology Press Ltd.

Subject

Electrical and Electronic Engineering,General Computer Science

Reference14 articles.

1. F. Leberl, M. Gruber, M. Ponticelli, S. Bernoegger, and R. Perko, “The Ultracam Large Format Aerial Digital Camera System,” Proc. of the ASPRS Annual Convention, Anchorage, USA, nur auf CD erschienen, 2003.

2. S. Ono, H,Kawasaki, K. Hirahara, M, Kagesawa, and K. Ikeuchi, et al, “3D Modeling of Urban Spaces by Ego-motion Estimation Using Horizontal Range Scanning,” Proc. of ITS Symposium, December 2003.

3. T. Asai, M. Kambara, and N. Yokoya, “Modeling Real World by Using Omnidirectional Range Finder for Walk-through,” FIT2003 pp. 639-640, 2003.

4. K. Yamazaki, M. Tomono, T. Tsubouchi, and S. Yuta, “3-D Object Modeling by a Camera Equipped on a Mobile Robot,” Proc. of the 2004 IEEE Int. Conf. on Robotics and Automation (ICRA2004), pp. 1399-1405, April 2004.

5. D. Hanandhar and R. Shibasaki, “VEHICLE-BORNE LASER MAPPING SYSTEM (VLMS) FOR 3-D GIS, Geoscience and Remote Sensing Symposium,” 2001, IGARSS '01, IEEE 2001 Int., pp. 2073-2075, 2001.

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. High precision localization for periodic tunnel inspections;SICE Journal of Control, Measurement, and System Integration;2024-02-28

2. Localization in Tunnels Using Feature-based Scan Matching;2023 62nd Annual Conference of the Society of Instrument and Control Engineers (SICE);2023-09-06

3. Inspection Test of a Tunnel with an Inspection Vehicle for Tunnel Lining Concrete;Journal of Robotics and Mechatronics;2019-12-20

4. High Spatial Resolution Survey Using Frequency-Shifted Feedback Laser for Transport Infrastructure Maintenance;Journal of Disaster Research;2017-05-29

5. High-Spatial-Resolution Scanning LIDAR: Towards Accurate Inspection of Tunnel Inner Wall;The Review of Laser Engineering;2017

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3