[HTML][HTML] Multi-sensor integrated navigation/positioning systems using data fusion: From analytics-based to learning-based approaches

Y Zhuang, X Sun, Y Li, J Huai, L Hua, X Yang, X Cao… - Information …, 2023 - Elsevier
Navigation/positioning systems have become critical to many applications, such as
autonomous driving, Internet of Things (IoT), Unmanned Aerial Vehicle (UAV), and smart …

Approaches to multisensor data fusion in target tracking: A survey

D Smith, S Singh - IEEE transactions on knowledge and data …, 2006 - ieeexplore.ieee.org
The tracking of objects using distributed multiple sensors is an important field of work in the
application areas of autonomous robotics, military applications, and mobile systems. In this …

Iot data quality assessment framework using adaptive weighted estimation fusion

J Byabazaire, GMP O'Hare, R Collier, D Delaney - Sensors, 2023 - mdpi.com
Timely data quality assessment has been shown to be crucial for the development of IoT-
based applications. Different IoT applications' varying data quality requirements pose a …

Multi sensor fusion based on adaptive Kalman filtering

S Yazdkhasti, JZ Sasiadek - … , Navigation and Control: Selected Papers of …, 2018 - Springer
The optimal performance of the conventional Kalman filters is not guaranteed, when there is
uncertainty in the process and measurement noise covariances. In this paper, in order to …

Hybrid Kalman filter-fuzzy logic adaptive multisensor data fusion architectures

PJ Escamilla-Ambrosio, N Mort - 42nd IEEE International …, 2003 - ieeexplore.ieee.org
In this work the recently developed fuzzy logic-based adaptive Kalman filter (FL-AKF) is
used to build adaptive centralized, decentralized, and federated Kalman filters for adaptive …

Flow meters: part 1

M Pereira - IEEE Instrumentation & Measurement Magazine, 2009 - ieeexplore.ieee.org
This tutorial has focused on the importance of accurate measurement by flow meters in
industrial applications and what is necessary to provide accuracy. The properties of fluid …

A novel approach for pivot-based sensor fusion of small satellites

NVB Pham, TN Nguyen, TD Ngo, AT Truong… - Physical …, 2021 - Elsevier
Precise and agile pointing performance based on the fusion or combination of its on-board
sensor inputs such as gyroscope and star-tracker are critical in spacecraft platform. This is …

Inertial/celestial-based fuzzy adaptive unscented Kalman filter with Covariance Intersection algorithm for satellite attitude determination

X Wang, Z You, K Zhao - Aerospace Science and Technology, 2016 - Elsevier
This paper deals with the attitude determination algorithm for the satellite with an attitude
measurement unit that is comprised of one gyroscope and two star trackers installed …

[引用][C] 多传感器数据融合技术研究进展

黄漫国, 樊尚春, 郑德智, 邢维巍 - 传感器与微系统, 2010

A zero phase adaptive fuzzy Kalman filter for physiological tremor suppression in robotically assisted minimally invasive surgery

H Sang, C Yang, F Liu, J Yun, G Jin… - … International Journal of …, 2016 - Wiley Online Library
Background Hand physiological tremor of surgeons can cause vibration at the surgical
instrument tip, which may make it difficult for the surgeon to perform fine manipulations of …