Pre-calibration method for concrete distributor based on laser sensor

The articulated laser sensor is a new kind of trans-scale and non-contact measurement instrument in regular-size space and industrial applications. These sensors overcome many deficiencies and application limitations of traditional measurement methods. The articulated laser sensor consists of two articulated laser sensing modules, and each module is made up of two rotary tables and one collimated laser. The three axes represent a non-orthogonal shaft architecture. The calibration method of system parameters for traditional instruments is no longer suitable. A novel high-accuracy calibration method of an articulated laser sensor for trans-scale 3D measurement is proposed. Based on perspective projection models and image processing techniques, the calibration method of the laser beam is the key innovative aspect of this study and is introduced in detail. The experimental results show that a maximum distance error of 0.05 mm was detected with the articulated laser sensor. We demonstrate that the proposed high-accuracy calibration method is feasible and effective, particularly for the calibration of laser beams.

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Research on Calibration Method of the Beam Direction the Point Laser Sensor Based on Standard Ball

Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering ◽

10.2991/amcce-15.2015.86 ◽

2015 ◽

Author(s):

Chengwei Li ◽

Jianguo Fang ◽

Jingliang Liu ◽

Fei Liu ◽

Di Li

Keyword(s):

Calibration Method ◽

Laser Sensor ◽

Beam Direction

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Automatic Calibration Method for Mounting Position of Protein Crystal Mounting Robot Based on Visual Positioning

10.21203/rs.3.rs-122417/v1 ◽

2020 ◽

Author(s):

Jiangping Qin ◽

Zhaolong Li ◽

Bo Sun ◽

Feng Yu ◽

Yi Liu ◽

...

Keyword(s):

Calibration Method ◽

Image Features ◽

Protein Crystal ◽

External Parameter ◽

Automatic Calibration ◽

Relationship Matrix ◽

Laser Sensor ◽

Circle Fitting ◽

Visual Positioning ◽

Fitting Algorithm

Abstract With the popularization of automounting robots in protein crystal diffraction experiment beamline stations, the coordinate calibration of the robot sample mounting position has become an inevitable task in the daily maintenance of the beamline station. In this method, the image features of the laser sensor spot and goniometer are extracted by color extraction and edge detection, respectively, and the noise is eliminated by median filtering. Then, after locating the pixel coordinates of the center of the circle through the Hough circle detection and the minimum closed circle fitting algorithm, the coordinates in the base coordinate system are obtained using the camera internal and external parameter matrices and the hand-eye relationship matrix. Finally, according to the deviation of the laser spot and the visual positioning coordinate of the goniometer, the position of the robot is compensated to improve the positioning accuracy, and the automatic calibration of the sample point is realized.

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