Results 61 to 70 of about 1,611 (218)
Depth-Based Object Tracking Using a Robust Gaussian Filter
, 2016 We consider the problem of model-based 3D-tracking of objects given dense depth images as input. Two difficulties preclude the application of a standard Gaussian filter to this problem.
Bohg, Jeannette +5 more
core +1 more source
A Novel Case of Practical Exponential Observer Using Extended Kalman Filter [PDF]
, 2018 This technical note presents a case of practical exponential observer using extended Kalman filter (EKF) independent of certain restrictions, such as online check and estimation error of initial state.
Deng, Z +10 more
core +2 more sources
Electronics Letters, Volume 62, Issue 1, January/December 2026.The unstable radar measurement noise in natural environments degrades tracking performance. This Letter introduces a noise‐adaptive matrix to efficiently compute a corrected fading factor, enabling real‐time compensation for noise variations. Superior performance is verified through comparison with existing methods. ABSTRACT In the natural environment,
Tianhao Liu, Xi Chen, Naichang Yuan
wiley +1 more source
Entropy, 2019 In this paper, an application of spherical radial cubature Bayesian filtering and smoothing algorithms is presented to solve a typical underwater bearings only passive target tracking problem effectively.
Wasiq Ali +5 more
doaj +1 more source
A New Approach to Linear/Nonlinear Distributed Fusion Estimation Problem
, 2018 Disturbance noises are always bounded in a practical system, while fusion estimation is to best utilize multiple sensor data containing noises for the purpose of estimating a quantity--a parameter or process.
Chen, Bo +3 more
core +1 more source
IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.A GEDMM is proposed to represent the MIWPS as multiple VSISs and model each of them as the VTDS2M whose unknown parameters are identified with the proposed hybrid optimized square root cubature Kalman filter (HOSRCKF). To solve the issues that the physical meanings of existing short circuit ratios (SCRs) are unclear and the critical values of existing ...
Mengxian Sun +3 more
wiley +1 more source
Adaptive Iterated Square-Root Cubature Kalman Filter and Its Application to SLAM of a Mobile Robot [PDF]
, 2013 For the mobile robot Simultaneous Localization and Mapping(SLAM)，a new algorithm is proposed, and named Adaptive Iterated Square-Root Cubature Kalman Filter based SLAM algorithm(AISRCKF-SLAM).
Cai, Biao +4 more
core +1 more source
Adaptive High Manoeuvring Target Tracking Algorithm Based on CNN‐LSTM Fusion Architecture
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.To solve the problems of model switching lag and tracking accuracy decline in interacting multiple model (IMM) algorithm in complex manoeuvring target tracking, an adaptive interacting multiple model unscented Kalman filter (IMM‐UKF) algorithm based on convolutional neural network and long short‐term memory network (CNN‐LSTM) fusion architecture is ...
Yuhan Cui +3 more
wiley +1 more source
On Approximate Nonlinear Gaussian Message Passing On Factor Graphs
, 2019 Factor graphs have recently gained increasing attention as a unified framework for representing and constructing algorithms for signal processing, estimation, and control. One capability that does not seem to be well explored within the factor graph tool
Hoffmann, Christian +2 more
core +1 more source
Iterated Posterior Linearization Smoother [PDF]
, 2017 This note considers the problem of Bayesian smoothing in nonlinear state-space models with additive noise using Gaussian approximations. Sigma-point approximations to the general Gaussian Rauch-Tung-Striebel smoother are widely used methods to tackle ...
Garcia-Fernandez, Angel F +2 more
core +1 more source