3D Measurement of Large Structure by Multiple Cameras and a Ring Laser

被引:0
|
作者
Higuchi, Hiroshi [1 ]
Fujii, Hiromitsu [2 ]
Taniguchi, Atsushi [3 ]
Watanabe, Masahiro [3 ]
Yamashita, Atsushi [1 ]
Asama, Hajime [1 ]
机构
[1] Univ Tokyo, Bunkyo Ku, 7-3-1 Hongo, Tokyo 1138656, Japan
[2] Chiba Inst Technol, 2-17-1 Tsudanuma, Narashino, Chiba 2750016, Japan
[3] Hitachi Ltd, Totsuka Ku, 292 Yoshida Cho, Yokohama, Kanagawa 2440817, Japan
关键词
3D measurement; bundle adjustment; lightsection method;
D O I
10.20965/jrm.2019.p0251
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
This paper presents an effective mobile three-dimensional (3D) measurement system that can obtain measurements from the inside of large structures such as railway vehicles, elevators, and escalators. In the proposed method, images are acquired by moving measurement equipment composed of a ring laser and two cameras. From the acquired images, accurate cross-sectional shapes, which are obtained via a light-section method by each camera, are integrated into a unified coordinate system using pose estimation based on bundle adjustment. We focus on the method of separately extracting the information necessary for the two processes - the light-section method and pose estimation - from the acquired images. The laser areas used for the light-section method are detected by a bandpass color filter. Further, a new block matching technique is introduced to eliminate the influence of the laser light, which causes incorrect detection of corresponding points. Through an experiment, we confirm the validity of the proposed 3D measurement method.
引用
收藏
页码:251 / 262
页数:12
相关论文
共 50 条
  • [41] Understanding 3D Semantic Structure around the Vehicle with Monocular Cameras
    Narioka, Kenichi
    Nishimura, Hiroki
    Itamochi, Takayuki
    Inomata, Teppei
    2018 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2018, : 132 - 137
  • [42] 3D image measurement of triaxial testing using two CCD cameras
    Sate Key Laboratory Analysis for Industrial Equipment, Dalian University of Technology, Dalian
    116023, China
    不详
    100081, China
    Dongbei Daxue Xuebao, 5 (728-732):
  • [43] Metric Potential of a 3D Measurement System Based on Digital Compact Cameras
    Sanz-Ablanedo, Enoc
    Ramon Rodriguez-Perez, Jose
    Arias-Sanchez, Pedro
    Armesto, Julia
    SENSORS, 2009, 9 (06): : 4178 - 4194
  • [44] Obstacle Classification and 3D Measurement in Unstructured Environments Based on ToF Cameras
    Yu, Hongshan
    Zhu, Jiang
    Wang, Yaonan
    Jia, Wenyan
    Sun, Mingui
    Tang, Yandong
    SENSORS, 2014, 14 (06): : 10753 - 10782
  • [45] R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras
    Schmied, Aron
    Fischer, Tobias
    Danelljan, Martin
    Pollefeys, Marc
    Yu, Fisher
    2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION, ICCV, 2023, : 3193 - 3203
  • [46] Handheld scanning with 3D cameras
    Cappelletto, Enrico
    Zanuttigh, Pietro
    Cortelazzo, Guido Maria
    2013 IEEE 15TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP), 2013, : 367 - 372
  • [47] 3D Laser Omnimapping for 3D Reconstruction of Large-Scale Scenes
    Hu, Shaoxing
    Zhang, Aiwu
    2009 JOINT URBAN REMOTE SENSING EVENT, VOLS 1-3, 2009, : 688 - +
  • [48] A hierarchy of cameras for 3D photography
    Neumann, J
    Fermüller, C
    Aloimonos, Y
    FIRST INTERNATIONAL SYMPOSIUM ON 3D DATA PROCESSING VISUALIZATION AND TRANSMISSION, 2002, : 2 - 11
  • [49] MEASUREMENT OF GREEN WATER ON A 3D STRUCTURE
    Ariyarathne, Kusalika
    Chang, Kuang-An
    Mercier, Richard
    OMAE 2009, VOL 6, 2009, : 531 - 538
  • [50] Sensor Fusion of Cameras and a Laser for City-Scale 3D Reconstruction
    Bok, Yunsu
    Choi, Dong-Geol
    Kweon, In So
    SENSORS, 2014, 14 (11) : 20882 - 20909