Results 31 to 40 of about 26,219 (311)
Robust INS/GPS sensor fusion for UAV localization using SDRE nonlinear filtering [PDF]
, 2009 For publication in IEEE Sensors JournalThe aim of this paper is to present a new INS/GPS sensor fusion scheme, based on State-Dependent Riccati Equation (SDRE) nonlinear filtering, for Unmanned Aerial Vehicle (UAV) localization problem.
Aouf, Nabil, Aouf, N., Nemra, A.
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Gong-kuang zidonghua, 2014 In view of problems of large errors and low accuracy of positioning technology in coal mine, the strapdown inertial navigation system was introduced into coal mine personnel and equipment for precise positioning and navigation.
LIU Xiaowen, WANG Cun, WANG Long
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A Study on Sensor System Latency in VR Motion Sickness
Journal of Sensor and Actuator Networks, 2021 One of the most frequent technical factors affecting Virtual Reality (VR) performance and causing motion sickness is system latency. In this paper, we adopted predictive algorithms (i.e., Dead Reckoning, Kalman Filtering, and Deep Learning algorithms) to
Ripan Kumar Kundu +2 more
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Estimating Time-Varying Effects of Prognostic Factors for Stomach Cancer Patients within a Dynamic Grouped Cox Model [PDF]
, 1996 We describe the identification of prognostic factors in the framework of a completely resected stomach cancer survival-study. For the analysis the dynamic grouped Cox-Model was used allowing for time-varying covariate effects.
Nekarda, H. +2 more
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A Review of Nonlinear Filtering Algorithms in Integrated Navigation Systems
SensorsNonlinear filtering algorithms have significant implications in the optimal estimation of navigation states and in improving the accuracy, reliability, and robustness of navigation systems.
Jiaqian Si, Yanxiong Niu, Botao Wang
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Effective-SNR estimation for wireless sensor network using Kalman filter [PDF]
, 2013 In many Wireless Sensor Network (WSN) applications, the availability of a simple yet accurate estimation of the RF channel quality is vital. However, due to measurement noise and fading effects, it is usually estimated through probe or learning based ...
Dai, Xuewu +6 more
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A Novel Filtering Algorithm of Data Acquisition for Electrical Capacitance Tomography
Journal of Harbin University of Science and Technology, 2018 On the basis of analyzing the filtering algorithm of ECT data acquisition system，according to the characteristics of Kalman filter and wavelet transform，a filtering algorithm based on the characteristics of Kalman filtering and wavelet transform is ...
YANG Ting, CHEN De-yun, WANG Li-li
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Design and Implementation of a Two-Wheeled Self-Balancing Car Using a Fuzzy Kalman Filter
Applied SciencesTo improve the upright balancing performance of the two-wheeled self-balancing car, this paper proposes an attitude estimation algorithm based on fuzzy Kalman filtering. Fuzzy logic is used to correct the inclination angle and angular velocity of the two-
Yimin Ma +2 more
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Hybrid Adaptive Cubature Kalman Filter with Unknown Variance of Measurement Noise
Sensors, 2018 This paper is concerned with the filtering problem caused by the inaccuracy variance of measurement noise in real nonlinear systems. A novel weighted fusion estimation method of multiple different variance estimators is presented to estimate the variance
Yuepeng Shi +4 more
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BarekengThis paper discusses the stability analysis of robust Kalman filtering on uncertain continuous-time systems. In real applications, systems often face model uncertainty and noise affecting prediction and estimation accuracy.
Budi Rudianto +3 more
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