Results 11 to 20 of about 2,112 (214)
Multi-source data fusion method for structural safety assessment of water diversion structures
Journal of Hydroinformatics, 2021 Building safety assessment based on single sensor data has the problems of low reliability and high uncertainty. Therefore, this paper proposes a novel multi-source sensor data fusion method based on Improved Dempster–Shafer (D-S) evidence theory and ...
Sherong Zhang, Ting Liu, Chao Wang
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Sensors, 2023 Multi-modal sensors are the key to ensuring the robust and accurate operation of autonomous driving systems, where LiDAR and cameras are important on-board sensors.
Yan Zhang +6 more
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Multi-Sensor Fusion Technology Based on Aircraft: The Implementation of Aircraft State Monitoring [PDF]
MATEC Web of ConferencesMulti-sensor fusion technology has become a core element in developing modern Multi-sensor fusion technology, which has become a crucial component in advancing the modern aviation industry.
Bai Zirun, Xia Zixuan
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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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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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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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Multi-sensor data fusion for urban area classification [PDF]
2011 Joint Urban Remote Sensing Event, 2011 Nowadays many sensors for information acquisition are widely employed in remote sensing and different properties of the objects can be revealed. Unfortunately each imaging sensor has its own limits on scene recognition in the sense of thematic, temporal, and other interpretation.
Makarau, Aliaksei +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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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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Multi-Sensor Data Fusion with a Reconfigurable Module and Its Application to Unmanned Storage Boxes
Sensors, 2022 We present a multi-sensor data fusion model based on a reconfigurable module (RM) with three fusion layers. In the data layer, raw data are refined with respect to the sensor characteristics and then converted into logical values. In the feature layer, a
Sung-Kyu Lee +3 more
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