Results 181 to 190 of about 41,493 (218)

Sensorless control of induction motor using EKF: Analysis of parameter variation on EKF performance

2016 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), 2016
This paper deals with the investigation of the Extended Kalman Filter (EKF) for sensorless indirect vector control of an induction motor. The prime focus is low speed operation, when the EKF somewhat presents erroneous results. The effectiveness of the EKF as a speed estimator under machine parameter variations - change in stator resistance, rotor ...
K.V. Shivaramakrishna, Avneet K. Chauhan, M Raghuram, Santosh K. Singh   +3 more
openaire   +1 more source

Consistency of SLAM-EKF Algorithms for Indoor Environments

Journal of Intelligent and Robotic Systems, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Diego Rodríguez-Losada, Fernando Matía, Luis Pedraza, Agustín Jiménez, Ramón Galán   +4 more
openaire   +1 more source

A computationally efficient EKF-vSLAM

2008 16th Mediterranean Conference on Control and Automation, 2008
This paper presents an efficient extended Kalman filter implementation of a single-camera visual simulataneous localization and mapping (vSLAM) algorithm, vSLAM is a novel algorithm for simultaneous localization and mapping problem widely studied in mobile robotics field. The algorithm is vision and odometry-based.
Souici A. Krim, Ould Ali A. Elaziz, Raja Chatila   +2 more
openaire   +1 more source

IMPACT OF PERTURBATION ESTIMATOR ON EKF-SLAM RESULTS

IFAC Proceedings Volumes, 2007
Abstract This paper deals with the Simultaneous Localization and Map building (SLAM) problem using an Extended Kalman Filter with Perturbation Estimator (EKFPE). The perturbation estimator is used to take systematic errors into account. These disturbance estimates are added to vehicle states in a feedback loop to improve location and map estimates ...
Chanier, François, Checchin, Paul, Blanc, Christophe, Trassoudaine, Laurent   +3 more
openaire   +2 more sources

An EKF Based Approach to Radar Inertial Odometry

2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2020
Accurate localization is key for autonomous robotics. Navigation in GNSS-denied and degraded visual environment is still very challenging. Approaches based on visual sensors usually fail in conditions like darkness, direct sunlight, fog or smoke.Our approach is based on a millimeter wave FMCW radar sensor and an Inertial Measurement Unit (IMU) as both ...
Doer, Christopher, Trommer, Gert F.
openaire   +2 more sources

EKF-based estimation of SOC and temperature in ultracapacitors

2013 10th IEEE International Conference on Control and Automation (ICCA), 2013
In this paper, simultaneous estimation of state-of-charge (SOC) and temperature is achieved by applying extended Kalman filter (EKF) algorithm with only the terminal measurement of voltage and current. For the application of EKF algorithm, a nonlinear model which consists of a voltageand-thermal-dependent equivalent circuit model and a thermal model is
Chia-Jui Chiang, Jing-Long Yang, Wen-Chin Cheng   +2 more
openaire   +1 more source

EKF monocular SLAM with relocalization for laparoscopic sequences

2011 IEEE International Conference on Robotics and Automation, 2011
In recent years, research on visual SLAM has produced robust algorithms providing, in real time at 30 Hz, both the 3D model of the observed rigid scene and the 3D camera motion using as only input the gathered image sequence. These algorithms have been extensively validated in rigid human-made environments -indoor and outdoor- showing robust ...
Oscar G. Grasa, Javier Civera 0001, J. M. M. Montiel   +2 more
openaire   +1 more source

Rhythmic EKF for pose estimation during gait

2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids), 2015
Accurate estimation of lower body pose during gait is useful in a wide variety of applications, including design of bipedal walking strategies, active prosthetics, exoskeletons, and physical rehabilitation. In this paper an algorithm is developed to estimate joint kinematics during rhythmic motion such as walking, using inertial measurement units ...
Vladimir Joukov, Vincent Bonnet, Michelle Karg, Gentiane Venture, Dana Kulic   +4 more
openaire   +1 more source

EKF Schemes in Array Processing

1993
The small error approximation is used to derive a linear relationship between the source parameters (i.e. power levels and directions of arrival) and a measurement of the covariance error matrix, defined as the difference between the data covariance and a covariance model from the scenario parameters. The resulting framework reveals the similarity with
M. A. Lagunas, A. Perez-Neira, D. Maiwald   +2 more
openaire   +1 more source

Visual odometry priors for robust EKF-SLAM

2010 IEEE International Conference on Robotics and Automation, 2010
One of the main drawbacks of standard visual EKF-SLAM techniques is the assumption of a general camera motion model. Usually this motion model has been implemented in the literature as a constant linear and angular velocity model. Because of this, most approaches cannot deal with sudden camera movements, causing them to lose accurate camera pose and ...
Pablo Fernández Alcantarilla, Luis Miguel Bergasa, Frank Dellaert   +2 more
openaire   +1 more source