Results 21 to 30 of about 199,748 (288)
Design of Health Monitoring Program for Filling System based on Data Level Fusion
MATEC Web of Conferences, 2016 Aiming at filling system health monitoring, the health monitoring type partition based on the data level fusion is studied. The health monitoring type is mainly divided into two parts, fusion-threshold monitoring based on single sensor data and fusion ...
Cheng Long +4 more
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Paradox Elimination in Dempster–Shafer Combination Rule with Novel Entropy Function: Application in Decision-Level Multi-Sensor Fusion [PDF]
, 2019 Multi-sensor data fusion technology in an important tool in building decision-making applications. Modified Dempster–Shafer (DS) evidence theory can handle conflicting sensor inputs and can be applied without any prior information.
Anwar, Sohel, Khan, Md Nazmuzzaman
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Multi-sensor Multi-resolution Data Fusion Modeling
Procedia CIRP, 2014 AbstractInspection analysis of 3D objects has progressed significantly due to the evolution of advanced sensors. Current sensors facilitate surface scanning at high or low resolution levels. In the inspection field, data from multi-resolution sensors have significant advantages over single-scale data.
Tansky, Dmitry +4 more
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Sensor Data Fusion in Multi-Sensor Weigh-In-Motion Systems
Sensors, 2020 In this paper, we present the results of a comparison of two estimators of the gross vehicle weight (GVW) and the static load of individual axles of vehicles.
Janusz Gajda +2 more
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Sensor registration for robotic applications [PDF]
, 2007 Multi-sensor data fusion plays an essential role in most robotic applications. Appropriate registration of information from different sensors is a fundamental requirement in multi-sensor data fusion.
Alempijevic, A +2 more
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IEEE Access, 2018 Deep learning has been widely used to fuse multi-sensor data for classification. However, current deep learning architecture for multi-sensor data fusion might not always perform better than single data source, especially for the fusion of hyperspectral ...
Wenzhi Liao +5 more
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Multi-Sensor Data Fusion Approach for Kinematic Quantities
Energies, 2022 A theoretical framework to implement multi-sensor data fusion methods for kinematic quantities is proposed. All methods defined through the framework allow the combination of signals obtained from position, velocity and acceleration sensors addressing ...
Mauro D’Arco, Martina Guerritore
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Profile monitoring via sensor fusion: The use of PCA methods for multi-channel data [PDF]
, 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.
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Research on multisensor high precision data fusion algorithm for mobile robot
Dianzi Jishu Yingyong, 2018 In this paper, based on fuzzy proximity data fusion algorithm, the algorithm of multi-sensor high precision data fusion for mobile robot is studied. The estimated value and the measured value are fuzzy, and the fuzzy lattice close degree is calculated ...
Ren Jie
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Research on underground multi-system fusion method for coal mine safety monitoring and control
Gong-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
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