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A Novel Strong Tracking ETUKF for State Estimation of Preceding Vehicles Using V2V Communications

IEEE Transactions on Vehicular Technology, 2023
Real-time decision-making of the host vehicle relies on the motion information of the preceding vehicle (PV). Using some advanced sensors to estimate the PV state is a hot research topic.
Feng Tian, Jianqiang Wang, Keqiang Li
semanticscholar   +1 more source

Estimation of state parameters and road adhesion coefficients for distributed drive electric vehicles based on a strong tracking SCKF

Proceedings of the Institution of mechanical engineers. Part D, journal of automobile engineering, 2023
To address the difficulties in accurately measuring driving state parameters and the road adhesion coefficient, in this paper, the permanent magnet synchronous motor (PMSM) was selected as the automotive in-wheel motor, and the distributed drive electric
Rongyun Zhang   +5 more
semanticscholar   +1 more source

A Modified Strong Tracking Adaptive Kalman Filter for Precision Clock Synchronization System

IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2023
In order to reduce the clock offset caused by network delay jitter, network asymmetry, clock drift and clock frequency difference in the clock synchronization process of IEEE1588, a modified Strong Tracking Adaptive Kalman Filter (MSTAKF) algorithm was ...
Weiran Zhang, Yanhong Hou
semanticscholar   +1 more source

Multiple fading factors-based strong tracking variational Bayesian adaptive Kalman filter

, 2021
If the system model or the statistical characteristics of noise are inaccurate, the past measurements will directly affect the accuracy of current state estimation or even lead to filtering divergence.
Cheng Pan   +4 more
semanticscholar   +1 more source

Federated strong tracking filtering for nonlinear systems with multiple sensors

Transactions of the Institute of Measurement and Control, 2022
In this paper, the filtering problem is investigated for nonlinear systems with multiple sensors. A federated strong tracking filter is designed to track state mutations by making full use of limited sensor information. Several subsystems are composed of
Shiyang Liu, Ming Gao, Wu Huai, Li Sheng
semanticscholar   +1 more source

A Robust Single GPS Navigation and Positioning Algorithm Based on Strong Tracking Filtering

IEEE Sensors Journal, 2018
Hailiang Xiong   +4 more
semanticscholar   +3 more sources

A strong tracking nonlinear robust filter for eye tracking

Journal of Control Theory and Applications, 2010
Non-intrusive methods for eye tracking are important for many applications of vision-based human computer interaction. However, due to the high nonlinearity of eye motion, how to ensure the robustness of external interference and accuracy of eye tracking pose the primary obstacle to the integration of eye movements into today’s interfaces.
Zutao Zhang, Jiashu Zhang
openaire   +1 more source

Adaptive Tracking Algorithm Based on Modified Strong Tracking Filter

2006 CIE International Conference on Radar, 2006
The strong tracking filter (STF) can reduce adaptively estimate bias and thus has ability to track maneuvering target in nonlinear systems. However, STF achieves the perfect performance in maneuvering segment at a cost of the precision in non-maneuvering segment. So based on the strong tracking filter, a new adaptive tracking algorithm (modified strong
He You   +3 more
openaire   +1 more source

Extended strong tracking filter SLAM algorithm

2011 IEEE International Conference on Mechatronics and Automation, 2011
Simultaneous Localization and Mapping (SLAM) is a key issue in robotics community. This paper presents a monocular vision and odometer based SLAM algorithm, making use of a novel artificial landmark which is called MR (Mobile Robot) code. During robot motion, the information from visual observations is fused with that from the odometer by Extended ...
Feng Wen   +4 more
openaire   +1 more source

A strong, long-track, Romanian tornado

Atmospheric Research, 2003
Abstract We document the first recorded tornado in more than 100 years in Romania, a country that has denied for sometime that they had tornadoes at all. A variety of observations are used to determine the storm phenomenon that was responsible for at least three fatalities, a large but undetermined number of injuries, and at least 33 homes destroyed ...
Leslie R. Lemon   +3 more
openaire   +1 more source

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