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...

Celý popis

Podrobná bibliografia

Vydané v:	2013 IEEE/RSJ International Conference on Intelligent Robots and Systems s. 3993 - 3999
Hlavní autori:	Loianno, Giuseppe, Lippiello, Vincenzo, Fischione, Carlo, Siciliano, Bruno
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.11.2013
Edícia:	IEEE International Conference on Intelligent Robots and Systems
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!