Study on innovation adaptive EKF for in-flight alignment of airborne POS

F Jiancheng, Y Sheng - IEEE Transactions on Instrumentation …, 2011 - ieeexplore.ieee.org
The Position and Orientation measurement System (POS) is a dedicated Strapdown Inertial
Navigation System (SINS)/Global Positioning System (GPS) integrated system for airborne …

Adaptive extended Kalman filtering strategies for spacecraft formation relative navigation

CT Fraser, S Ulrich - Acta Astronautica, 2021 - Elsevier
The relative navigation problem for spacecraft formation flying missions in near-Earth orbit is
addressed here through the design of two unique adaptive extended Kalman filter …

Position estimation and smooth tracking with a fuzzy-logic-based adaptive strong tracking Kalman filter for capacitive touch panels

CL Lin, YM Chang, CC Hung, CD Tu… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
This paper presents a novel 7-in capacitive touch panel (CTP) system with a smooth tracking
algorithm that accurately estimates the position where the panel is touched and tracks the …

Fuzzy adaptive Kalman filter for wind power output smoothing with battery energy storage system

X Li - IET Renewable Power Generation, 2012 - IET
The energy storage system (ESS) is the current, widely popular means of smoothing
intermittent wind power (WP) generation to regulate output power uncertainty in a wind …

Improved vehicle positioning algorithm using enhanced innovation-based adaptive Kalman filter

FA Ghaleb, A Zainal, MA Rassam… - Pervasive and Mobile …, 2017 - Elsevier
Accurate positioning is a key factor for enabling innovative applications to properly perform
their tasks in various areas including: Intelligent Transportation Systems (ITS) and Vehicular …

Knowledge acquisition in fuzzy-rule-based systems with particle-swarm optimization

RP Prado, S Garcia-Galán… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
Knowledge acquisition is a long-standing problem in fuzzy-rule-based systems. In spite of
the existence of several approaches, much effort is still required to increase the efficiency of …

Multi-sensor fusion for underwater robot self-localization using PC/BC-DIM neural network

U Ali, W Muhammad, MJ Irshad, S Manzoor - Sensor Review, 2021 - emerald.com
Purpose Self-localization of an underwater robot using global positioning sensor and other
radio positioning systems is not possible, as an alternative onboard sensor-based self …

Robust medical image segmentation using particle swarm optimization aided level set based global fitting energy active contour approach

D Mandal, A Chatterjee, M Maitra - Engineering Applications of Artificial …, 2014 - Elsevier
The active contour models have been popularly employed for image segmentation for
almost a decade now. Among these active contour models, the level set based Chan and …

Robot tracking in SLAM with Masreliez-Martin unscented Kalman filter

M Tang, Z Chen, F Yin - International Journal of Control, Automation and …, 2020 - Springer
The simultaneous localization and mapping (SLAM) is a significant topic in intelligent robot.
In this paper, a robot tracking algorithm in SLAM with Masreliez-Martin unscented Kalman …

Nonlinear filter for simultaneous localization and mapping on a matrix lie group using imu and feature measurements

HA Hashim, AEE Eltoukhy - IEEE Transactions on Systems …, 2021 - ieeexplore.ieee.org
Simultaneous localization and mapping (SLAM) is a process of concurrent estimation of the
vehicle's pose and feature locations with respect to a frame of reference. This article …