Results 1 to 10 of about 186,290 (272)
Advances in Multi-Sensor Information Fusion: Theory and Applications 2017 [PDF]
Sensors, 2018 The information fusion technique can integrate a large amount of data and knowledge representing the same real-world object and obtain a consistent, accurate, and useful representation of that object.
Xue-Bo Jin +3 more
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Survey on Information Fusion of Probability Density Functions [PDF]
Hangkong bingqi, 2023 The probability density function contains not only the first-order and the second-order statistics, but also the higher-order statistics and more complex feature information.
Li Jianxun, Yu Xingkai
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Information fusion method of multichannel nanosensors based on neural network [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2022 Information fusion approaches have been commonly used in multi sensor environments for the fusion and grouping of data from various sensors which is used further to draw a meaningful interpretation of the data. Traditional information fusion methods have
Chaoke Li
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Multi-Sensor Information Fusion [PDF]
, 2020 This book includes papers from the section “Multisensor Information Fusion”, from Sensors between 2018 to 2019. It focuses on the latest research results of current multi-sensor fusion technologies and represents the latest research trends, including traditional information fusion technologies, estimation and filtering, and the latest research ...
Gao, Yuan, Jin, Xue-Bo
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Review of the Method for Distributed Multi-sensor Multi-target Tracking
Leida xuebao, 2023 Multi-sensor multi-target tracking is a popular topic in the field of information fusion. It improves the accuracy and stability of target tracking by fusing multiple local sensor information.
Yajun ZENG +4 more
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Multi-Target Tracking AA Fusion Method for Asynchronous Multi-Sensor Networks
Sensors, 2023 Aiming at the problem of asynchronous multi-target tracking, this paper studies the AA fusion optimization problem of multi-sensor networks. Firstly, each sensor node runs a PHD filter, and the measurement information obtained from different sensor nodes
Kuiwu Wang +3 more
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EURASIP Journal on Advances in Signal Processing, 2021 Nowadays, the pace of society is accelerating, people’s living standard has been greatly improved compared with the past, and we pay more and more attention to the real-time, flexibility, and intelligence of medical services.
Di Zhang
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Sensors, 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
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Multi-sensor conflict measurement and information fusion [PDF]
SPIE 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
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A reliability-based track fusion algorithm. [PDF]
PLoS ONE, 2015 The common track fusion algorithms in multi-sensor systems have some defects, such as serious imbalances between accuracy and computational cost, the same treatment of all the sensor information regardless of their quality, high fusion errors at ...
Li Xu +4 more
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