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Performance evaluation of UKF-based nonlinear filtering
Automatica, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kai Xiong, H. Y. Zhang, C. W. Chan
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UKF based two-timescale control for a helicopter
2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2016UKF based two-timescale control method is proposed for a helicopter to overcome model errors in this paper. According to the time-scale separation principle, the helicopter is decomposed into two lower-order systems: the slow subsystem and the fast subsystem. Backstepping control and inverse dynamic control method are developed for these two subsystems
Qi Song, Zhe Jiang 0003
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Multicue HMM-UKF for real-time contour tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006We propose an HMM model for contour detection based on multiple visual cues in spatial domain and improve it by joint probabilistic matching to reduce background clutter. It is further integrated with unscented Kalman filter to exploit object dynamics in nonlinear systems for robust contour tracking.
Yunqiang Chen, Yong Rui, Thomas S. Huang
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An Improved UKF for IMU State Estimation Based on Modulation LSTM Neural Network
IEEE transactions on intelligent transportation systems (Print)Due to the divergence of accuracy caused by inertial measurement unit (IMU) cumulative error, it is difficult for a single IMU equipment to realize vehicle positioning.
Jinxin Luo +5 more
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A heuristic for sigma set selection of UKF
2014 12th International Conference on Signal Processing (ICSP), 2014In this paper we present a higher order moment-matching algorithm for computing the distribution parameters of nonlinear transformation random variables. The new algorithm has two distinct aspects compared to the standard Unscented Kalman Filter (UKF).
Yujin Wang +3 more
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UKF-based State and tire slip estimation for a 4WD electric vehicle
Vehicle System Dynamics, 2020For performance improvement of modern vehicle dynamic control systems, exact knowledge of the vehicle motion state and the road conditions is essential.
H. Heidfeld +2 more
semanticscholar +1 more source
A small UAV tracking algorithm based on AIMM-UKF
, 2021Purpose The purpose of this study is to establish an effective tracking algorithm for small unmanned aerial vehicles (UAVs) based on interacting multiple model (IMM) to take timely countermeasures against illegal flying UAVs.
Zhiwen Hou, Fanliang Bu
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UKF-FNN-RIC: A Highly Accurate UWB Localization Algorithm for TOA Scenario
IEEE Transactions on Instrumentation and MeasurementUWB positioning has become an important branch of indoor localization technology, which has high accuracy in the ideal state but is easily affected by the environment and other factors.
Shuning Zhang +5 more
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Fusion
The Unscented Kalman Filter (UKF) stands out as a versatile and dynamic algorithm, celebrated for its prowess in estimating the states of nonlinear dynamical systems within uncertain environments.
Zhengyang Fan +5 more
semanticscholar +1 more source
The Unscented Kalman Filter (UKF) stands out as a versatile and dynamic algorithm, celebrated for its prowess in estimating the states of nonlinear dynamical systems within uncertain environments.
Zhengyang Fan +5 more
semanticscholar +1 more source
Comments on “Performance evaluation of UKF-based nonlinear filtering”
Automatica, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yuanxin Wu, Dewen Hu, Xiaoping Hu 0002
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