Open AccessA fast calibration method of the robot’s 3D vision system
Author(s) -
Lei Qin,
Zhenxing Zheng,
Shipu Diao
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1550/2/022021
Subject(s) - calibration , robot calibration , computer science , computer vision , point cloud , robot , artificial intelligence , process (computing) , point (geometry) , block (permutation group theory) , machine vision , key (lock) , robot kinematics , mobile robot , mathematics , statistics , geometry , computer security , operating system
Calibration accuracy and convenience are very important for the rapid production of vision-based robots. Although there are many calibration methods for the 3D vision system, the convenience of calibration cannot meet the needs of industrial sites. In this paper, we propose a fast calibration method based on a 3D calibration block. Its key point is to complete the calibration process through multiple space point constraints, and the space points used are jointly solved by multiple planes obtained by local point cloud fitting. The experimental results show that the proposed method can quickly complete the calibration of the robot’s 3D vision system, and the calibration accuracy can meet low precision occasions.