Results 211 to 220 of about 15,008 (242)
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EKF monocular SLAM with relocalization for laparoscopic sequences
2011 IEEE International Conference on Robotics and Automation, 2011In 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 +2 more
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EKF Schemes in Array Processing
1993The 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 +2 more
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On the consistency of EKF-SLAM: Focusing on the observation models
2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009In this paper a new strategy for handling the observation information of a bearing-range sensor throughout the filtering process of EKF-SLAM is proposed. This new strategy is advised based on a thorough consistency analysis and aims to improve the process consistency while reducing the computational cost.
Amir Hossein Tamjidi +2 more
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Complex EKF neural network for adaptive equalization
2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353), 2002Neural networks with real valued inputs have been proposed in the literature for adaptive equalization and have been used to improve performance of communication channel equalizers. However, neural networks with complex valued inputs and fast convergence are lacking for adaptive equalization.
Korrai Deergha Rao +2 more
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Visual odometry priors for robust EKF-SLAM
2010 IEEE International Conference on Robotics and Automation, 2010One 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 +2 more
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Consistency improvement for SLAM - EKF for indoor environments
Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006., 2006The solution to the simultaneous localization and mapping (SLAM) problem using an extended Kalman filter (EKF) is the most extended despite the inconsistency of its estimation, a problem that has been largely avoided in the literature. We review current existing approaches and present novel solutions to this problem that let us to build large ...
Diego Rodríguez-Losada +3 more
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Application of EKF technique to ship resistance measurement
Automatica, 1993Abstract The measurement of ship resistance is important in naval architecture and marine hydrodynamics research. The method of predicting ship resistance from scaled model tests has been used for over 100 years but the results suffer from “scale effect”.
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Attitude and gyro bias estimation by SVD-aided EKF
Measurement: Journal of the International Measurement Confederation, 2022Chingiz Hajiyev, Demet Cilden-Guler
exaly