3D Measurement of a Moving Object Using 3D Accelerometer Attached to Moving Camera

被引:0
|
作者
Akamatsu, Toshihiro [1 ]
Dong, Fangyan [1 ]
Hirota, Kaoru [1 ]
机构
[1] Tokyo Inst Technol, Midori Ku, Yokohama, Kanagawa 2268502, Japan
关键词
AFFINE;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A measuring method by using a moving camera and a 3D accelerometer attached under the camera is proposed to identify the distance from the camera to the surface of the moving object and the position movement of the object in continuous two frame images. It makes possible to measure 3D position of a moving object with a half computational cost by keeping the same accuracy comparing to the method using stereo camera. The 3D measurement experiments with several original images show that the computation time of the proposed method is about 2 times faster than that of stereo camera method. The proposed method is planning to be used to avoid obstacles for vehicles or mobile robots, and the utilization as a depth measuring device is also investigated.
引用
收藏
页码:71 / 76
页数:6
相关论文
共 50 条
  • [41] Change of the observed binocular disparity of the moving 3D object in 3D technology based on the time-division
    Hong, HyungKi
    [J]. DISPLAYS, 2012, 33 (02) : 98 - 102
  • [42] Measuring 3D profile and position of a moving object in large measurement range by using tracking fringe pattern
    Yuan, F
    Song, DQ
    Zeng, LJ
    [J]. OPTICS COMMUNICATIONS, 2001, 196 (1-6) : 85 - 91
  • [43] Fast 3D Shape Measurement Using Structured Light Projection for a One-directionally Moving Object
    Ishii, Idaku
    Koike, Teruyuki
    Gao, Hao
    Takaki, Takeshi
    [J]. IECON 2011: 37TH ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2011,
  • [44] 3D-SeqMOS: A Novel Sequential 3D Moving Object Segmentation in Autonomous Driving
    Zhuang, Yuan
    Li, Qipeng
    Chen, Yiwen
    Huai, Jianzhu
    Li, Miao
    Ma, Tianbing
    Tang, Yufei
    Liang, Xinlian
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 25 (08) : 8782 - 8795
  • [45] 3D Object Modeling with a Kinect Camera
    Jaiswal, Mayoore
    Xie, Jun
    Sun, Ming-Ting
    [J]. 2014 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 2014,
  • [46] 3D Object Reconstruction using Stationary RGB Camera
    Junior, Jose G. dos S.
    Lima, Gustavo C. R.
    Pinto, Adam H. M.
    Lima, Joao Paulo S. do M.
    Teichrieb, Veronica
    Quintino, Jonysberg P.
    da Silva, Fabio Q. B.
    Santos, Andre L. M.
    Pinho, Helder
    [J]. PROCEEDINGS OF THE 17TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISAPP), VOL 5, 2022, : 793 - 800
  • [47] 3D Object Localization using Single Camera Images
    Buchholz, Dirk
    Kubus, Daniel
    Winkelbach, Simon
    Wahl, Friedrich M.
    [J]. 2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012), 2012, : 821 - 824
  • [48] Reconstructing the geometry of an object using 3D TOF Camera
    Francis, Sobers L. X.
    Anavatti, Sreenatha G.
    Garratt, Matthew
    [J]. 2011 IEEE WORKSHOP ON MERGING FIELDS OF COMPUTATIONAL INTELLIGENCE AND SENSOR TECHNOLOGY (COMPSENS), 2011, : 13 - 17
  • [49] Inferring 3D volumetric shape of both moving objects and static background observed by a moving camera
    Yuan, Chang
    Medioni, Gerard
    [J]. 2007 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-8, 2007, : 2454 - +
  • [50] VEHICLE 3D LOCALIZATION IN ROAD SCENES VIA A MONOCULAR MOVING CAMERA
    Zhang, Yanting
    Zheng, Aotian
    Han, Ke
    Wang, Yizhou
    Hwang, Jenq-Neng
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021), 2021, : 2390 - 2394