Motion parameters measurement of rigid body based on laser beams

In this paper we address the problem of motion parameters measurement of rigid body. A special optical cooperative target is designed and mounted on the rigid body, while the laser is projected to a reception planes, the laser spot on the reception plane is captured by camera and located using the moments method, the camera is calibrated using a large size calibration target be fabricated in the field, the three-dimensional(3D) coordinate is measured by the camera of calibrated, image points of laser spot and the reception planes, and the motion parameters is calculated with the feature plane's normal vector of laser beams in the rigid body's coordinate frame and the world coordinate frame. The Numerical simulations and experiments results demonstrate that this measuring method based on laser beams can achieve the precision what attitude is 0.04 degree and position is 4mm, and wide range of measurement for the motion parameters of the rigid body.

[1]  Sinan Kalkan,et al.  An iterative adaptive multi-modal stereo-vision method using mutual information , 2015, J. Vis. Commun. Image Represent..

[2]  Kostas Daniilidis,et al.  Linear Pose Estimation from Points or Lines , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  袁峰 Yuan Feng,et al.  Attitude measurement of space objects based on multi-linear CCD and multi-point cooperation target , 2013 .

[4]  霍炬 Huo Ju,et al.  Measurement and Error Analysis of Moving Target Pose Based on Laser Projection Imaging , 2017 .

[5]  Bojan Jerbić,et al.  Calibration of an Industrial Robot Using a Stereo Vision System , 2014 .

[6]  Friedrich Fraundorfer Computer Vision for MAVs , 2017 .

[7]  Ju Huo,et al.  A method for attitude measurement of a test vehicle based on the tracking of vectors , 2015 .

[8]  Miguel A. Olivares-Méndez,et al.  Vision based fuzzy control autonomous landing with UAVs: From V-REP to real experiments , 2015, 2015 23rd Mediterranean Conference on Control and Automation (MED).

[9]  Peng Zhao,et al.  Precise perimeter measurement for 3D object with a binocular stereo vision measurement system , 2010 .

[10]  Gregory D. Hager,et al.  Fast and Globally Convergent Pose Estimation from Video Images , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  Josef Kittler,et al.  Detecting partially occluded ellipses using the Hough transform , 1989, Image Vis. Comput..

[12]  Jian Wang,et al.  Modeling of binocular stereo vision for remote coordinate measurement and fast calibration , 2014 .

[13]  张文明 Zhang Wenming,et al.  Measurement of 3D Pose of Objects Based on Weak Perspective Model , 2014 .

[14]  Eduardo Bayro-Corrochano,et al.  Lie algebra approach for tracking and 3D motion estimation using monocular vision , 2007, Image Vis. Comput..