Results 31 to 40 of about 208,485 (269)

Multi-sensor conflict measurement and information fusion [PDF]

open access: yesSPIE Proceedings, 2016
In sensing applications where multiple sensors observe the same scene, fusing sensor outputs can provide improved results. However, if some of the sensors are providing lower quality outputs, the fused results can be degraded. In this work, a multi-sensor conflict measure is proposed which estimates multi-sensor conflict by representing each sensor ...
Wei, Pan   +2 more
openaire   +2 more sources

Optimal Linear Filter Based on Feedback Structure for Sensing Network with Correlated Noises and Data Packet Dropout

open access: yesSensors, 2023
This paper is concerned with the estimation of correlated noise and packet dropout for information fusion in distributed sensing networks. By studying the problem of the correlation of correlated noise in sensor network information fusion, a matrix ...
Weichen Shang   +4 more
doaj   +1 more source

Analysis of distributed fusion alternatives in coordinated vision agents [PDF]

open access: yes, 2008
6 pages, 10 figures.-- Contributed to: 11th International Conference on Information Fusion (FUSION'2008, Cologne, Germany, Jun 30-Jul 3, 2008).In this paper, we detail some technical alternatives when building a coherent distributed visual sensor network
Castanedo, Federico   +3 more
core   +3 more sources

Robust Distributed Fusion with Labeled Random Finite Sets [PDF]

open access: yes, 2017
This paper considers the problem of the distributed fusion of multi-object posteriors in the labeled random finite set filtering framework, using Generalized Covariance Intersection (GCI) method.
Battistelli, Giorgio   +5 more
core   +2 more sources

Profile monitoring via sensor fusion: The use of PCA methods for multi-channel data [PDF]

open access: yes, 2014
Continuous advances of sensor technology and real-time computational capability are leading to data-rich environments to improve industrial automation and machine intelligence. When multiple signals are acquired from different sources (i.e. multi-channel
Colosimo, B.M., Grasso, M, Pacella, M.
core   +1 more source

Multi-Sensor Fusion in Automated Driving: A Survey

open access: yesIEEE Access, 2020
With the significant development of practicability in deep learning and the ultra-high-speed information transmission rate of 5G communication technology will overcome the barrier of data transmission on the Internet of Vehicles, automated driving is ...
Zhangjing Wang, Yu Wu, Qingqing Niu
doaj   +1 more source

Spatial Whitening Framework for Distributed Estimation [PDF]

open access: yes, 2011
Designing resource allocation strategies for power constrained sensor network in the presence of correlated data often gives rise to intractable problem formulations.
Chen, Hao   +2 more
core   +1 more source

Distributed Fusion with Multi-Bernoulli Filter based on Generalized Covariance Intersection

open access: yes, 2016
In this paper, we propose a distributed multi-object tracking algorithm through the use of multi-Bernoulli (MB) filter based on generalized Covariance Intersection (G-CI).
Hoseinnezhad, Reza   +5 more
core   +1 more source

Research on underground multi-system fusion method for coal mine safety monitoring and control

open access: yesGong-kuang zidonghua, 2018
According to the requirements for underground multi-system fusion of Technology schemes of upgrading of coal mine safety monitoring and control system, and for the problem that fusion degree of underground monitoring and control system was not high, a ...
QI Xiaoxiao, GUO Youmin, QI Jinping
doaj   +1 more source

Event-Triggered Robust Fusion Estimation for Multi-Sensor Time-Delay Systems with Packet Drops

open access: yesApplied Sciences, 2023
This paper investigates the robust fusion estimation problem for multi-sensor systems with communication constraints, parameter uncertainty, d-step state delays, and deterministic control inputs.
Xiaolei Du, Huabo Liu, Haisheng Yu
doaj   +1 more source

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