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Browsing by Subject "Kalman filter"

Now showing items 1-11 of 11

4-Dimensional deformation part model for pose estimation using Kalman filter constraints

Martínez Bertí, Enrique; Sánchez Salmerón, Antonio José; Ricolfe Viala, Carlos (SAGE Publications, 2017)

[EN] The goal of this research work is to improve the accuracy of human pose estimation using the deformation part model without increasing computational complexity. First, the proposed method seeks to improve pose estimation ...
A bias correction method for fast fuel-to-air ratio estimation in diesel engines

Guardiola, Carlos; Plá Moreno, Benjamín; Blanco-Rodriguez, David; Mazer, Alexandre; Hayat, Olivier (SAGE Publications (UK and US), 2013-08)

l probes in turbocharged diesel engines are usually located downstream of the turbine, exhibiting a good dynamic response but a significant delay because of the exhaust line transport and the hardware itself. With the ...
A computationally efficient Kalman filter based estimator for updating look-up tables applied to NOx estimation in diesel engines

Guardiola, Carlos; Plá Moreno, Benjamín; Blanco-Rodriguez, David; Eriksson, L. (International Federation of Automatic Control (IFAC), 2013-11)

No-x estimation in diesel engines is an up-to-date problem but still some issues need to be solved. Raw sensor signals are not fast enough for real-time use while control-oriented models suffer from drift and aging. A ...
A learning algorithm concept for updating look-up tables for automotive applications

Guardiola García, Carlos; Plá Moreno, Benjamín; Blanco Rodríguez, David; Cabrera López, Pedro (Elsevier, 2013-04)

Look-up tables are commonly used in the automotive field for handling operating point variations. However, constant maps cannot cope with systems variations and ageing. Methods, such as Kalman filter or Extended Kalman ...
An Approach to Handling Non-Gaussianity of Parameters and State Variables in Ensemble Kalman Filtering

Zhou ., Haiyan; Gómez-Hernández, J. Jaime; Hendricks Franssen, Hendrikus Johannes W; Li, Liangping (ELSEVIER SCI LTD, 2011)

[EN] The ensemble Kalman filter (EnKF) is a commonly used real-time data assimilation algorithm in various disciplines. Here, the EnKF is applied, in a hydrogeological context, to condition log-conductivity realizations ...
Comparative study of speed estimators with highly noisymeasurement signals for Wind Energy Generation Systems

Carranza Castillo, Oscar; Figueres Amorós, Emilio; Garcerá Sanfeliú, Gabriel; González Morales, Luis Gerardo (Elsevier, 2011-03)

This paper presents a comparative study of several speed estimators to implement a sensorless speed control loop in Wind Energy Generation Systems driven by power factor correction three-phase boost rectifiers. This rectifier ...
Dual Quaternions as Constraints in 4D-DPM Models for Pose Estimation

Martínez Bertí, Enrique; Sánchez Salmerón, Antonio José; Ricolfe Viala, Carlos (MDPI AG, 2017)
ECU-oriented models for NOx prediction. Part 2: adaptive estimation by using an NOx sensor

Guardiola, Carlos; Climent, H.; Plá Moreno, Benjamín; Blanco-Rodriguez, David (SAGE Publications, 2015-09)

The implantation of nitrogen oxide sensors in diesel engines is necessary in order to track emissions at the engine exhaust line for diagnosis and control of the after-treatment devices. However, the use of models is still ...
Human robot interaction and tracking using low cost 3D vision systems

Martínez Bertí, Enrique; Sánchez Salmerón, Antonio José; Benimeli, Francesc (2012)

This paper describes a platform which allows humans to interact with robotic arms using augmented reality. Low cost kinect cameras (Xbox 360) are used for tracking human skeletons and locations of robot s end effectors. ...
Modelling and observation of exhaust gas concentrations for diesel engine control

Blanco Rodríguez, David (2013-10-07)

La Tesis Doctoral estudia la observaci'on en tiempo real de la concentraci'on en el colector de escape de 'oxidos de nitr'ogeno (NOx) y del dosado en motores diesel sobrealimentados (¿ '1 ). Para ello se combinan dos ...
Solución analítica de un filtro de Kalman estacionario para la observación de deriva en modelos de emisiones de NOx en motores diesel de automoción

Guardiola, Carlos; Hoyas, S; Plá Moreno, Benjamín; Blanco-Rodriguez, David (Elsevier, 2015-04)

[ES] En los algoritmos de control y diagnóstico de los motores diesel la precisión en la estimación de las variables resulta crítica. En el caso de las emisiones de óxidos de nitrógeno (NOx) recientemente se han desarrollado ...