Results 11 to 20 of about 3,341 (138)
Application of the Strong Tracking UKF in the Maneuvering Target Tracking
Journal of Physics: Conference Series, 2016 Maneuvering target tracking is one of the key technologies in the space tracking system. The strong tracking unscented Kalman filter is presented for the data processing which uses a fading factor in the state estimation. Using the current statistical model, the strong tracking UKF is tested with the real data obtained in a mission measured by the ...
GUO Caifa +3 more
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An Improved Strong Tracking UKF Based on Fading Factor
International Journal of Hybrid Information Technology, 2014 STUKF (Strong tracking UKF) algorithm uses the time-varying fading factor to fade the past data and reduce the impact on current filter value, thus achieves the goal of adjusting the filter gain matrix in real time. But STUKF algorithm needs three UT for each filtering, and compared with the UKF filter, calculating amount of three UT increases ...
Jian Feng +4 more
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Fast, Autonomous Flight in GPS-Denied and Cluttered Environments [PDF]
, 2017 One of the most challenging tasks for a flying robot is to autonomously navigate between target locations quickly and reliably while avoiding obstacles in its path, and with little to no a-priori knowledge of the operating environment.
Achtelik +19 more
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Intelligent approach for processmodelling and optimization on electrical dischargemachining of polycrystalline diamond [PDF]
, 2020 Polycrystalline diamond (PCD) is increasingly becomes an important material used in the industry for cutting tools of difficult-to-machine materials due to its excellent characteristics such as hardness, toughness and wear resistance.
Ahmad, Muhammad Ariff Haikal +5 more
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Kalman-variant estimators for state of charge in lithium-sulfur batteries [PDF]
, 2017 Lithium-sulfur batteries are now commercially available, offering high specific energy density, low production costs and high safety. However, there is no commercially-available battery management system for them, and there are no published methods for ...
Auger, Daniel J. +4 more
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Application of Strong Tracking Cubature Kalman Filter in Air-to-Air Missile Guidance [PDF]
Hangkong bingqiA strong tracking cubature Kalman filter(STCKF) method is proposed to overcome the challenges of insufficient nonlinear approximation capability and decreased tracking accuracy of traditional filtering algorithms in dealing with complex maneuvering ...
Liang Jinxin, Tang Qi, Cui Hao, Zhang Gongping
doaj +1 more source
Multisensor data fusion for joint people tracking and identification with a service robot [PDF]
, 2007 Tracking and recognizing people are essential skills modern service robots have to be provided with. The two tasks are generally performed independently, using ad-hoc solutions that first estimate the location of humans and then proceed with their ...
Bellotto, Nicola, Hu, Huosheng
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Applied Sciences, 2018 Accurate battery modeling is essential for the state-of-charge (SOC) estimation of electric vehicles, especially when vehicles are operated in dynamic processes.
Chi Zhang +3 more
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Unscented Orientation Estimation Based on the Bingham Distribution [PDF]
, 2013 Orientation estimation for 3D objects is a common problem that is usually tackled with traditional nonlinear filtering techniques such as the extended Kalman filter (EKF) or the unscented Kalman filter (UKF).
Gilitschenski, Igor +3 more
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Multisensor-based human detection and tracking for mobile service robots [PDF]
, 2009 The one of fundamental issues for service robots is human-robot interaction. In order to perform such a task and provide the desired services, these robots need to detect and track people in the surroundings.
Bellotto, Nicola, Hu, Huosheng
core +1 more source