A Stochastic Global Optimization Algorithm for the Two-Frame Sensor Calibration Problem

In the two-frame sensor calibration problem, the objective is to find rigid-body homogeneous transformation matrices X,Y that best fit a set of equalities of the form A i X = YB i , i=1,..., N, where the {(A i , B i )} are pairs of homogeneous transformations obtained from sensor measurements. The m...

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Veröffentlicht in:	IEEE transactions on industrial electronics (1982) Jg. 63; H. 4; S. 2434 - 2446
Hauptverfasser:	Junhyoung Ha, Donghoon Kang, Park, Frank C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Bismuth Calibration Cameras geometric optimization hand-eye calibration Lie groups Noise measurement Optimization Optimization algorithms Robot sensing systems Robot sensor calibration robot-world calibration Sensors stochastic global optimization Yttrium stochastic global optimization robot sensor calibration Geometric optimization hand–eye calibration robot–world calibration
ISSN:	0278-0046, 1557-9948
Online-Zugang:	Volltext
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