Capturing Revolute Motion and Revolute Joint Parameters with Optical Tracking

1st International Workshop on Materials Science and Mechanical Engineering

材料科学;机械制造

Antonya, C.^1

Department of Automotive and Transport Engineering, Transilvania University of Brasov, 29 B-dul Eroilor, Brasov

500036, Romania^1

关键词: Computer aided engineering simulations;    Geometrical shapes;    Image processing algorithm;    Least square methods;    Physical parameters;    Point of interest;    Position and orientations;    Technical systems;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/281/1/012064/pdf
DOI  :  10.1088/1757-899X/281/1/012064

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Optical tracking of users and various technical systems are becoming more and more popular. It consists of analysing sequence of recorded images using video capturing devices and image processing algorithms. The returned data contains mainly point-clouds, coordinates of markers or coordinates of point of interest. These data can be used for retrieving information related to the geometry of the objects, but also to extract parameters for the analytical model of the system useful in a variety of computer aided engineering simulations. The parameter identification of joints deals with extraction of physical parameters (mainly geometric parameters) for the purpose of constructing accurate kinematic and dynamic models. The input data are the time-series of the marker's position. The least square method was used for fitting the data into different geometrical shapes (ellipse, circle, plane) and for obtaining the position and orientation of revolute joins.