[HTML][HTML] A systematic review of data fusion techniques for optimized structural health monitoring
Advancements in structural health monitoring (SHM) techniques have spiked in the past few
decades due to the rapid evolution of novel sensing and data transfer technologies. This …
decades due to the rapid evolution of novel sensing and data transfer technologies. This …
Level-5 autonomous driving—are we there yet? a review of research literature
Autonomous vehicles are revolutionizing transport and next-generation autonomous
mobility. Such vehicles are promising to increase road safety, improve traffic efficiency …
mobility. Such vehicles are promising to increase road safety, improve traffic efficiency …
A survey on machine learning for data fusion
Data fusion is a prevalent way to deal with imperfect raw data for capturing reliable, valuable
and accurate information. Comparing with a range of classical probabilistic data fusion …
and accurate information. Comparing with a range of classical probabilistic data fusion …
Data fusion and IoT for smart ubiquitous environments: A survey
The Internet of Things (IoT) is set to become one of the key technological developments of
our times provided we are able to realize its full potential. The number of objects connected …
our times provided we are able to realize its full potential. The number of objects connected …
Sensor fusion: A review of methods and applications
ML Fung, MZQ Chen, YH Chen - 2017 29th Chinese Control …, 2017 - ieeexplore.ieee.org
This paper aims to present a brief overview of the development of sensor fusion in various
application in recent years, and to understand the challenges and ability of sensor fusion …
application in recent years, and to understand the challenges and ability of sensor fusion …
Recent progress in networked control systems—A survey
For the past decades, networked control systems (NCSs), as an interdisciplinary subject,
have been one of the main research highlights and many fruitful results from different …
have been one of the main research highlights and many fruitful results from different …
Advances in artificial intelligence methods applications in industrial control systems: Towards cognitive self-optimizing manufacturing systems
Industrial control systems play a central role in today's manufacturing systems. Ongoing
trends towards more flexibility and sustainability, while maintaining and improving …
trends towards more flexibility and sustainability, while maintaining and improving …
Distributed particle filter implementation with intermittent/irregular consensus convergence
A Mohammadi, A Asif - IEEE Transactions on Signal Processing, 2013 - ieeexplore.ieee.org
Motivated by non-linear, non-Gaussian, distributed multi-sensor/agent navigation and
tracking applications, we propose a multi-rate consensus/fusion based framework for …
tracking applications, we propose a multi-rate consensus/fusion based framework for …
Improved particle filter in sensor fusion for tracking randomly moving object
P Vadakkepat, L **g - IEEE Transactions on Instrumentation …, 2006 - ieeexplore.ieee.org
An improved particle-filter algorithm is proposed to track a randomly moving object. The
algorithm is implemented on a mobile robot equipped with a pan-tilt camera and 16 sonar …
algorithm is implemented on a mobile robot equipped with a pan-tilt camera and 16 sonar …
Fusing Climate Data Products Using a Spatially Varying Autoencoder
Autoencoders are powerful machine learning models used to compress information from
multiple data sources. However, autoencoders, like all artificial neural networks, are often …
multiple data sources. However, autoencoders, like all artificial neural networks, are often …