Likelihood-Based Sensor Calibration Using Affine Transformation-Reference-Cited by-同舟云学术

Likelihood-Based Sensor Calibration Using Affine Transformation

Published:2024-02-01 Issue:3 Volume:24 Page:3672-3680
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Machhamer Rüdiger¹^ORCID,Begic Fazlic Lejla¹^ORCID,Guven Eray²,Junk David¹^ORCID,Karabulut Kurt Gunes²^ORCID,Naumann Stefan¹^ORCID,Didas Stephan¹^ORCID,Gollmer Klaus-Uwe¹^ORCID,Bergmann Ralph³,Timm Ingo J.³,Dartmann Guido¹

Affiliation:

1. Institute for Software Systems (ISS), Trier University of Applied Sciences, Environmental Campus Birkenfeld, Trier, Germany

2. Poly-Grames Research Center, Polytechnique Montréal, Montréal, Canada

3. Business Informatics, Trier University, Trier, Germany

Funder

German Federal Ministry of Food and Agriculture (BMEL) Projects “KI-Pilot”

“PINOT”

German Federal Ministry for Economic Affairs and Climate Action (BMWK) Project “EASY”

German Federal Ministry for the Environment, Nature Conservation, Nuclear Safety, and Consumer Protection (BMUV) Project “KIRA”

Ministry for Science and Health of Rhineland-Palatinate (MWG) as part of the research training group (Forschungskolleg) “AI-Based Self-Adaptive Cyber-Physical Process Systems (AI-CPPS).”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10418056/10364722.pdf?arnumber=10364722

Reference34 articles.

1. Estimation of a linear transformation

2. Chapter 2: Basic of affine geometry;Gallier,2011

3. Maximum likelihood estimation in a multivariate ‘errors in variables’ regression model with unknown error covariance matrix

4. Estimation of a linear transformation and an associated distributional problem