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Improving Cell Detection and Tracking in Microscopy Images Using YOLO and an Enhanced DeepSORT Algorithm. [PDF]

open access: yesSensors (Basel)
Al-Hamadani MNA   +6 more
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Identification of time-varying nonlinear structural physical parameters by integrated WMA and UKF/UKF-UI

Nonlinear Dynamics, 2021
The identification of time-varying physical parameters of nonlinear systems is still a challenging task. Limited studies based on the wavelet multiresolution analysis (WMA) have been attempted, which requires full measurements of structural displacement, velocity and acceleration responses of all degrees of freedom and exact information of external ...
Ning Yang, Jun Li, Ying Lei, Hong Hao
openaire   +1 more source

A Comparison of EKF, UKF, FastSLAM2.0, and UKF-based FastSLAM Algorithms

2012 IEEE 16th International Conference on Intelligent Engineering Systems (INES), 2012
This study aims to contribute a comparison of various simultaneous localization and mapping (SLAM) algorithms that have been proposed in literature. The performance of Extended Kalman Filter (EKF) SLAM, Unscented Kalman Filter (UKF) SLAM, EKF-based FastSLAM version 2.0, and UKF-based FastSLAM (uFastSLAM) algorithms are compared in terms of accuracy of ...
Kurt Yavuz, Zeyneb, Kurt Yavuz, Zeyneb
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Geomagnetic orbit determination: EKF or UKF?

Aircraft Engineering and Aerospace Technology, 2021
Purpose Autonomous orbit determination using geomagnetic measurements is an important backup technique for safe spacecraft navigation with a mere magnetometer. The geomagnetic model is used for the state estimation of orbit elements, but this model is highly nonlinear.
Wu, Jin   +4 more
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Distributed Nonlinear Fusion UKF

2020 IEEE 16th International Conference on Control & Automation (ICCA), 2020
This paper is concerned with the distributed fusion estimation problem for nonlinear multi-sensor systems. As is well known, the weighted fusion methods minimize the trace of fusion estimate error covariance, and it can be divided into three categories: scalar weighting, diagonal matrix weighting and matrix weighting, in which the matrix weighting has ...
Zhongyao Hu   +4 more
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A UPF-UKF Framework For SLAM

Proceedings 2007 IEEE International Conference on Robotics and Automation, 2007
In this paper we propose a SLAM framework which is based on an algorithm that combines an unscented particle filter (UPF) and unscented Kalman filters (UKFs). A UPF is used to estimate robot's poses and the UKFs are used to represent landmark positions.
Xiang Wang, Hong Zhang
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