Results 61 to 70 of about 15,255 (305)
IEEE AccessAutonomous vehicle lane change maneuvers are an intricate task that requires multiple subsystems to work together to ensure the maneuver’s safety and efficiency.
Heyi Muluneh Hailu +2 more
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On the convergence of the ensemble Kalman filter [PDF]
Applications of Mathematics, 2011 Convergence of the ensemble Kalman filter in the limit for large ensembles to the Kalman filter is proved. In each step of the filter, convergence of the ensemble sample covariance follows from a weak law of large numbers for exchangeable random variables, the continuous mapping theorem gives convergence in probability of the ensemble members, and $L^p$
Mandel, Jan +2 more
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Robust adaptive estimators for nonlinear systems
, 2013 This paper is concerned with the development of new adaptive nonlinear estimators which incorporate adaptive estimation techniques for system noise statistics with the robust technique.
R. Katebi +3 more
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Advanced Intelligent Systems, EarlyView.This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer +2 more
wiley +1 more source
Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019 The features of extended and unscented Kalman filters for global positioning systems receiver data processing are considered. The estimation performance of extended and unscented Kalman filters is compared.
A. N. Moroz +3 more
doaj
Power Generation Prediction of an Open Cycle Gas Turbine Using Kalman Filter
Energies, 2020 The motivation for this paper is the enhanced role of power generation prediction in power plants and power systems in the smart grid paradigm. The proposed approach addresses the impact of the ambient temperature on the performance of an open cycle gas ...
Christos Manasis +4 more
doaj +1 more source
Maximum correntropy Kalman filter [PDF]
Automatica, 2017 Traditional Kalman filter (KF) is derived under the well-known minimum mean square error (MMSE) criterion, which is optimal under Gaussian assumption. However, when the signals are non-Gaussian, especially when the system is disturbed by some heavy-tailed impulsive noises, the performance of KF will deteriorate seriously.
Badong Chen +3 more
openaire +3 more sources
Speckle Skin‐Based Multimodal Tactile Perception for Fine Robotic Manipulation
Advanced Intelligent Systems, EarlyView.SpeckleTac, a miniature vision‐based tactile sensor, utilizes a speckle‐pattern skin and optical flow‐based scalable virtual marker tracking. Combined with advanced algorithms, it achieves high‐resolution 3D surface reconstruction, precise contact perception, and stable grasping capabilities.
Jiayuan Zhang +6 more
wiley +1 more source
An elementary introduction to Kalman filtering [PDF]
Communications of the ACM, 2019 Demystifying the uses of a powerful tool for uncertain information.
Yan Pei +3 more
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Comparison of Extended and Unscented Kalman Filters applied to EEG signals
, 2010 For years the Extended Kalman Filter (EKF) has been the algorithm for non-linear systems due to its simplicity and suitability to real time implementations.
Janett Walters-Williams +3 more
core +1 more source