This paper presents a local sensor fusion technique with an event-based global position correction to improve the localization of a mobile robot with limited computational resources. The proposed algorithms use a modified ...
This paper presents a sensor fusion framework that improves the localization of
mobile robots with limited computational resources. It employs an event based Kalman
Filter to combine the measurements of a global sensor ...
Avendaño-Valencia, Luís David; Avendaño, Luis Enrique; Ferrero De Loma-Osorio, José María; Castellanos-Domínguez, G.(Universidad Nacional de Colombia, 2007-12)
[EN] This paper presents a filter for reducing powerline interference in electrocardiographic signals (ECG), based on dual parameter and state estimation using with a Kalman filter. Two models were used to represent ...