Visual and inertial multi-rate data fusion for motion estimation via Pareto-optimization

Motion estimation is an open research field in control and robotic applications. Sensor fusion algorithms are generally used to achieve an accurate estimation of the vehicle motion by combining heterogeneous sensors measurements with different statistical characteristics. In this paper, a new method...

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Bibliographic Details

Published in:	2013 IEEE/RSJ International Conference on Intelligent Robots and Systems pp. 3993 - 3999
Main Authors:	Loianno, Giuseppe, Lippiello, Vincenzo, Fischione, Carlo, Siciliano, Bruno
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.11.2013
Series:	IEEE International Conference on Intelligent Robots and Systems
Subjects:	Accurate estimation Computational requirements Displacement measurement Estimation Heterogeneous sensors Pareto optimization Position measurement Robot sensing systems Robotic applications Sensor fusion algorithms Statistical characteristics Statistical properties Vehicles Visualization
ISBN:	1467363588, 9781467363587
ISSN:	2153-0858
Online Access:	Get full text
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