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Author Hel-Or, Y. ♦ Werman, M.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1992
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Noise measurement ♦ Covariance matrix ♦ Computer science ♦ Position measurement ♦ Gratings ♦ Kalman filters ♦ Filtering ♦ Robustness ♦ Sensor fusion ♦ Iterative methods
Abstract A general and flexible method for fusing and integrating different 2D and 3D measurements for pose estimation is proposed. The 2D measured data are viewed as 3D data with infinite uncertainty in a particular direction. This representation unifies the two categories of the absolute orientation problem into a single problem that varies only in the uncertainty values associated with the measurements. With this paradigm a uniform mathematical formulation of the problem is obtained, and different kinds of measurements that can be fused to obtain a better solution. The method, which is implemented using Kalman filtering, is robust and easily parallelizable.<<ETX>>
Description Author affiliation: Inst. of Comput. Sci., Hebrew Univ. of Jerusalem, Israel (Hel-Or, Y.; Werman, M.)
ISBN 0818628553
ISSN 10636919
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1992-06-15
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 430.26 kB
Page Count 6
Starting Page 77
Ending Page 82


Source: IEEE Xplore Digital Library