Results 61 to 70 of about 270,111 (384)

NONLINEAR FILTERING OF RANDOM SEQUENCES WITH EXTENDED LEAST-SQUARE METHOD 1

Informatika, 2018
For nonlinear random sequences filtering the extended least-square method is proposed. The received suboptimal filter equations include linearization for nonlinear measurement function only.
V. M. Artemiev, A. O. Naumov, L. L. Kokhan   +2 more
doaj  

Discriminative Parameter Training of the Extended Particle-Aided Unscented Kalman Filter for Vehicle Localization

Applied Sciences, 2020
Location is one of the most important parameters of a self-driving car. To filter the sensor noise, we proposed the extended particle-aided unscented Kalman filter (PAUKF).
Ming Lin, Byeongwoo Kim
doaj   +1 more source

Penggunaan Extended Kalman Filter Sebagai Estimator Sikap Pada Sistem Kendali Servo Visual Robot [PDF]

, 2011
Extended Kalman Filter (EKF) is the non-linear version of Kalman filter and the said filter is usually used in nonlinear state estimation. In this study EKF is applied to process the image features of a single camera mounted on the end effector of a ...
Basjaruddin, N. C. (Noor)
core  

Degeneracy Sensing Light Detection and Ranging‐Inertial Simultaneous Localization and Mapping with Dual‐Layer Resistant Odometry and Scan‐Context Loop‐Closure Detection Backend in Diverse Environments

Advanced Intelligent Systems, EarlyView.
This paper presents a degeneracy‐aware light detection and ranging (LiDAR)‐inertial framework that enhances LiDAR simultaneous localization and mapping performance in challenging environments. The proposed system integrates a dual‐layer robust odometry frontend with a Scan‐Context‐based loop‐closure detection backend.
Haoming Yang, Liye Zhao, Xukai Ding, Wenjun Li, Kehao Qi   +4 more
wiley   +1 more source

Implementation of unknown parameter estimation procedure for hybrid and discrete non‐linear systems

IET Radar, Sonar & Navigation
The application of the hybrid extended Kalman filter (HEKF), hybrid unscented Kalman filter (HUKF), hybrid particle filter (HPF), and hybrid extended Kalman particle filter (HEKPF) is discussed for hybrid non‐linear filter problems, when prediction ...
Mahdi Razm‐Pa
doaj   +1 more source

Research on the Effectiveness of Different Estimation Algorithm on the Autonomous Orbit Determination of Lagrangian Navigation Constellation

International Journal of Aerospace Engineering, 2016
The accuracy of autonomous orbit determination of Lagrangian navigation constellation will affect the navigation accuracy for the deep space probes. Because of the special dynamical characteristics of Lagrangian navigation satellite, the error caused by ...
Youtao Gao, Junkang Chen, Bo Xu, Jianhua Zhou   +3 more
doaj   +1 more source

Processing and filtering analysis of navigation data of underground strapdown inertial navigation system

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
doaj   +1 more source

Kalman Filter and Its Application in Data Assimilation

Atmosphere, 2023
In 1960, R.E. Kalman published his famous paper describing a recursive solution, the Kalman filter, to the discrete-data linear filtering problem.
Bowen Wang, Zhibin Sun, Xinyue Jiang, Jun Zeng, Runqing Liu   +4 more
doaj   +1 more source

Smart Power Grid Synchronization With Fault Tolerant Nonlinear Estimation [PDF]

, 2016
Effective real-time state estimation is essential for smart grid synchronization, as electricity demand continues to grow, and renewable energy resources increase their penetration into the grid.
Wang, Xin, Yaz, Edwin E
core   +2 more sources

Contact Force Estimation of Continuum Robots without Embedded Sensors: A Review

Advanced Intelligent Systems, EarlyView.
This review surveys methods for estimating contact forces in continuum robots without embedded sensors. It explains why contact force matters, classifies force patterns, and groups existing methods into three approaches based on actuation, deformation, and environment information.
An Hu, Yu Sun
wiley   +1 more source