Results 11 to 20 of about 421,096 (303)

A systematic MEMS sensor calibration framework [PDF]

open access: yesJournal of Sensors and Sensor Systems, 2015
In this paper we present a systematic method to determine sets of close to optimal sensor calibration points for a polynomial approximation. For each set of calibration points a polynomial is used to fit the nonlinear sensor response to the calibration ...
A. Dickow, G. Feiertag
doaj   +1 more source

Nonparametric Calibration for Depth Sensors

open access: yesRobotics and Autonomous Systems, 2015
RGBD sensors are commonly used in robotics applications for many purposes, including 3D reconstruction of the environment and mapping. In these tasks, uncalibrated sensors can generate poor quality results. In this paper we propose a quick and easy to use approach to estimate the undistortion function of RGBD sensors.
DI CICCO, MAURILIO   +2 more
openaire   +2 more sources

Performance validation and calibration conditions for novel dynamic baseline tracking air sensors in long-term field monitoring [PDF]

open access: yesAtmospheric Measurement Techniques
The rapid expansion of low-cost sensor networks for air quality monitoring necessitates rigorous calibration to ensure data accuracy. Despite numerous published field calibration studies, a universal and comprehensive assessment of factors affecting ...
H. Mei   +5 more
doaj   +1 more source

Radiometric Cross-Calibration of GF-1 PMS Sensor with a New BRDF Model

open access: yesRemote Sensing, 2019
On-orbit radiometric calibration of a space-borne sensor is of great importance for quantitative remote sensing applications. Cross-calibration is a common method with high calibration accuracy, and the core and emphasis of this method is to select the ...
Qiyue Liu, Tao Yu, Hailiang Gao
doaj   +1 more source

The Calibration of Displacement Sensors [PDF]

open access: yesSensors, 2020
Displacement measuring sensors play an essential role in all aspects of dimensional metrology. They can be used for direct displacement measurements but more often they are part of a measurement system, such as an atomic force microscope, roughness tester or a coordinate measuring machine (CMM).
openaire   +3 more sources

On-chip Magnetoresistive Sensors for Detection and Localization of Paramagnetic Particles [PDF]

open access: yes, 2017
This paper presents the work towards miniaturized magnetic biosensor array based on the detection of paramagnetic particles using the giant magnetoresistance (GMR) effect.
Heidari, Hadi, Shah, Samyak
core   +1 more source

Calibration of sensors in sensor networks [PDF]

open access: yes2005 IEEE Conference on Emerging Technologies and Factory Automation, 2006
In this paper we present a new approach to calibrate sensors in sensor networks in an uncontrolled environment. The proposed algorithm makes a model ofthe distribution ofthe measured quantity. This model can be used to estimate and correct the bias of the sensor The proposed, centralized calibration algorithm is a macro-calibration algorithm which ...
Kleiboer, L.   +2 more
openaire   +2 more sources

Multisource Self-calibration for Sensor Arrays [PDF]

open access: yes, 2009
Calibration of a sensor array is more involved if the antennas have direction dependent gains and multiple calibrator sources are simultaneously present. We study this case for a sensor array with arbitrary geometry but identical elements, i.e.
van der Veen, Alle-Jan   +1 more
core   +1 more source

A Calibration Algorithm for Microelectromechanical Inertial Sensors

open access: yesИзвестия высших учебных заведений России: Радиоэлектроника, 2022
Introduction. Systematic errors of microelectromechanical (MEMS) inertial sensors, such as those related to zero drift, scale factor, and nonorthogonality of sensitive axes, are the main sources of errors in strapdown inertial navigation systems (SINS ...
Nguyen Trong Yen   +2 more
doaj   +1 more source

Off-Grid sparse blind sensor calibration [PDF]

open access: yes2018 26th Signal Processing and Communications Applications Conference (SIU), 2018
Compressive Sensing (CS) based techniques generally discretize the signal space and assume that the signal is sparse and has support only on the discretized grid points. Due to continuous nature of the signals, representing the signal on a discretized grid results in the off-grid problem.
Yetik, İmam Şamil   +2 more
openaire   +3 more sources

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