Sequential Calibration Method of Nonlinear Errors of PIGA on Counter-Rotating Platform Centrifuge

2021 ◽  
Vol 70 ◽  
pp. 1-11
Author(s):  
Chuang Sun ◽  
Shun-Qing Ren ◽  
Ming Zeng ◽  
Chang-Hong Wang ◽  
Ru Huo
2017 ◽  
Vol 28 (3) ◽  
pp. 035009 ◽  
Author(s):  
Wen-Long Li ◽  
An Wu ◽  
Zi-Cheng Li ◽  
Gang Zhang ◽  
Wen-Yong Yu

Sensor Review ◽  
2019 ◽  
Vol 39 (2) ◽  
pp. 190-198 ◽  
Author(s):  
Zhe Gao ◽  
Jun Huang ◽  
Xiaofei Yang ◽  
Ping An

Purpose This paper aims to calibrate the mounted parameters between the LIDAR and the motor in a low-cost 3D LIDAR device. It proposes the model of the aimed 3D LIDAR device and analyzes the influence of all mounted parameters. The study aims to find a way more accurate and simple to calibrate those mounted parameters. Design/methodology/approach This method minimizes the coplanarity and area of the plane scanned to estimate the mounted parameters. Within the method, the authors build different cost function for rotation parameters and translation parameters; thus, the parameter estimation problem of 4-degree-of-freedom (DOF) is decoupled into 2-DOF estimation problem, achieving the calibration of these two types of parameters. Findings This paper proposes a calibration method for accurately estimating the mounted parameters between a 2D LIDAR and rotating platform, which realizes the estimation of 2-DOF rotation parameters and 2-DOF translation parameters without additional hardware. Originality/value Unlike previous plane-based calibration techniques, the main advantage of the proposed method is that the algorithm can estimate the most and more accurate parameters with no more hardware.


2009 ◽  
Vol 29 (4) ◽  
pp. 982-986
Author(s):  
Jun ZHANG ◽  
Bang-ping WANG ◽  
Cheng YI ◽  
Xiao-feng LI ◽  
Hui LI

2013 ◽  
Vol 34 (7) ◽  
pp. 1558-1561 ◽  
Author(s):  
Gui-bao Wang ◽  
Hai-hong Tao ◽  
Lan-mei Wang

ROBOT ◽  
2013 ◽  
Vol 35 (5) ◽  
pp. 600 ◽  
Author(s):  
Wenbin GAO ◽  
Hongguang WANG ◽  
Yong JIANG ◽  
Xin'an PAN

ROBOT ◽  
2013 ◽  
Vol 35 (5) ◽  
pp. 521
Author(s):  
Feng WANG ◽  
Kai CHEN ◽  
Xiaoping CHEN

Author(s):  
Vera Rostovtseva ◽  
Vera Rostovtseva ◽  
Igor Goncharenko ◽  
Igor Goncharenko ◽  
Dmitrii Khlebnikov ◽  
...  

Sea radiance coefficient, defined as the ratio of the sunlight reflected by the water bulk to the sunlight illuminating the water surface, is one of the most informative optical characteristics of the seawater that can be obtained by passive remote sensing. We got the sea radiance coefficient spectra by processing the data obtained in measurements from board a moving ship. Using sea radiance coefficient optical spectra it is possible to estimate water constituents concentration and their distribution over the aquatory of interest. However, thus obtained sea radiance coefficient spectra are strongly affected by weather and measurement conditions and needs some calibration. It was shown that practically all the spectra of sea radiance coefficient have some generic peculiarities regardless of the type of sea waters. These peculiarities can be explained by the spectrum of pure sea water absorption. Taking this into account a new calibration method was developed. The measurements were carried out with the portative spectroradiometers from board a ship in the five different seas: at the north-east coast of the Black Sea, in the Gdansk Bay of the Baltic Sea, in the west part of the Aral Sea, in the Kara Sea with the Ob’ Bay and in the Philippine Sea at the coast of Taiwan. The new method of calibration was applied to the obtained spectra of the sea radiance coefficient that enabled us to get the corresponding absorption spectra and estimate the water constituents concentration in every region. The obtained concentration estimates were compared to the values obtained in water samples taken during the same measurement cycle and available data from other investigations. The revealed peculiarities of the sea radiance coefficient spectra in the aquatories under exploration were compared to the corresponding water content and some characteristic features were discussed.


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