Online Calibration of a 4 DOF Stereo Head

1992 ◽  
Author(s):  
N. A. Thacker ◽  
P. Courtney
Keyword(s):  
Online Calibration

Online Calibration of Visual Measurement System Based on Industrial Robot

ROBOT ◽  
2011 ◽  
Vol 33 (3) ◽  
pp. 299-302 ◽  
Author(s):  
Yi WANG ◽  
Changjie LIU ◽  
Xueyou YANG ◽  
Shenghua YE
Keyword(s):  
Measurement System ◽  
Industrial Robot ◽  
Visual Measurement ◽  
Online Calibration

An Online Calibration Method for Manipulator with Joint Clearance

ROBOT ◽  
2013 ◽  
Vol 35 (5) ◽  
pp. 521
Author(s):  
Feng WANG ◽  
Kai CHEN ◽  
Xiaoping CHEN
Keyword(s):  
Calibration Method ◽  
Joint Clearance ◽  
Online Calibration

Online Calibration of Strapdown Magnetometers

2009 ◽  
Vol 42 (16) ◽  
pp. 687-692
Author(s):  
Hüseyin Yigitler ◽  
M. Kemal Leblebicioğlu
Keyword(s):  
Online Calibration

A Heading Gyro Bias Online Calibration Method for Autonomous Navigation System

2021 ◽  
Author(s):  
Yunqiang Xiong ◽  
Dongmei Zhang ◽  
Chun Dong ◽  
Shuangxi Li ◽  
Hao Wu
Keyword(s):  
Navigation System ◽  
Autonomous Navigation ◽  
Calibration Method ◽  
Online Calibration ◽  
Gyro Bias ◽  
Autonomous Navigation System

scholarly journals Online Calibration of Phasor Measurement Unit Using Density-Based Spatial Clustering

2018 ◽  
Vol 33 (3) ◽  
pp. 1081-1090 ◽  
Author(s):  
Xinan Wang ◽  
Di Shi ◽  
Zhiwei Wang ◽  
Chunlei Xu ◽  
Qibing Zhang ◽  
...  
Keyword(s):  
Spatial Clustering ◽  
Phasor Measurement Unit ◽  
Measurement Unit ◽  
Online Calibration ◽  
Phasor Measurement

scholarly journals An aircraft-borne chemical ionization – ion trap mass spectrometer (CI-ITMS) for fast PAN and PPN measurements

2010 ◽  
Vol 3 (5) ◽  
pp. 4313-4354
Author(s):  
A. Roiger ◽  
H. Aufmhoff ◽  
P. Stock ◽  
F. Arnold ◽  
H. Schlager
Keyword(s):  
Boundary Layer ◽  
Mass Spectrometer ◽  
Chemical Ionization ◽  
Ion Trap ◽  
The Arctic ◽  
Arctic Boundary Layer ◽  
Online Calibration ◽  
Mixing Ratios ◽  
Ion Trap Mass Spectrometer ◽  
Research Aircraft

Abstract. An airborne chemical ionization ion trap mass spectrometer instrument (CI-ITMS) has been developed for tropospheric and stratospheric fast in-situ measurements of PAN (peroxyacetyl nitrate) and PPN (peroxypropionyl nitrate). The first scientific deployment of the FASTPEX instrument (FASTPEX = Fast Measurement of Peroxyacyl nitrates) took place in the Arctic during 18 missions aboard the DLR research aircraft Falcon, within the framework of the POLARCAT-GRACE campaign in the summer of 2008. The FASTPEX instrument is described and characteristic properties of the employed ion trap mass spectrometer are discussed. Atmospheric data obtained at altitudes of up to ~12 km are presented, from the boundary layer to the lowermost stratosphere. Data were sampled with a time resolution of 2 s and a 2σ detection limit of 25 pmol mol−1. An isotopically labelled standard was used for a permanent online calibration. For this reason the accuracy of the PAN measurements is better than ±10% for mixing ratios greater than 200 pmol mol−1. PAN mixing ratios in the summer Arctic troposphere were in the order of a few hundred pmol mol−1 and generally correlated well with CO. In the Arctic boundary layer and lowermost stratosphere smaller PAN mixing ratios were observed due to a combination of missing local sources of PAN precursor gases and efficient removal processes (thermolysis/photolysis). PPN, the second most abundant PAN homologue, was measured simultanously. Observed PPN/PAN ratios range between ~0.03 and 0.3.

scholarly journals HYBRID ONLINE MOBILE LASER SCANNER CALIBRATION THROUGH IMAGE ALIGNMENT BY MUTUAL INFORMATION

2016 ◽  
Vol III-1 ◽  
pp. 25-31 ◽  
Author(s):  
Mourad Miled ◽  
Bahman Soheilian ◽  
Emmanuel Habets ◽  
Bruno Vallet
Keyword(s):  
Mutual Information ◽  
Imaging System ◽  
Laser Scanner ◽  
Point Clouds ◽  
Calibration Method ◽  
Online Calibration ◽  
Calibration Methods ◽  
Laser Calibration ◽  
Scanner Calibration

This paper proposes an hybrid online calibration method for a laser scanner mounted on a mobile platform also equipped with an imaging system. The method relies on finding the calibration parameters that best align the acquired points cloud to the images. The quality of this intermodal alignment is measured by Mutual information between image luminance and points reflectance. The main advantage and motivation is ensuring pixel accurate alignment of images and point clouds acquired simultaneously, but it is also much more flexible than traditional laser calibration methods.

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