Results 1 to 10 of about 199,155 (292)
Multi-Sensor Data Fusion with a Reconfigurable Module and Its Application to Unmanned Storage Boxes [PDF]
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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High-Precision 3D Reconstruction in Complex Scenes via Implicit Surface Reconstruction Enhanced by Multi-Sensor Data Fusion [PDF]
SensorsIn this paper, we investigate implicit surface reconstruction methods based on deep learning, enhanced by multi-sensor data fusion, to improve the accuracy of 3D reconstruction in complex scenes.
Quanchen Zhou +3 more
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Multi-Sensor Data Fusion for Future Telematics Application [PDF]
Journal of Astronomy and Space Sciences, 2003 In this paper, we present multi-sensor data fusion for telematics application. Successful telematics can be realized through the integration of navigation and spatial information.
Seong-Baek Kim +4 more
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Tracking filter and multi-sensor data fusion [PDF]
Sadhana, 2000 In this paper factorization filtering, fusion filtering strategy and related algorithms are presented.
Appavu, Raj R +3 more
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Hybrid Particle Swarm Optimization for Multi-Sensor Data Fusion. [PDF]
Sensors (Basel), 2018 A hybrid particle swarm optimization (PSO), able to overcome the large-scale nonlinearity or heavily correlation in the data fusion model of multiple sensing information, is proposed in this paper. In recent smart convergence technology, multiple similar and/or dissimilar sensors are widely used to support precisely sensing information from different ...
Kim H, Suh D.
europepmc +5 more sources
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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Journal of Marine Science and Engineering, 2023 The safe navigation of unmanned surface vehicles in the marine environment requires multi-sensor collaborative perception, and multi-sensor data fusion technology is a prerequisite for realizing the collaborative perception of different sensors.
Shuanghu Qiao +3 more
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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 Data Fusion Method Based on Self-Attention Mechanism
Applied Sciences, 2023 In 3D reconstruction tasks, single-sensor data fusion based on deep learning is limited by the integrity and accuracy of the data, which reduces the accuracy and reliability of the fusion results. To address this issue, this study proposes a multi-sensor
Xuezhu Lin +5 more
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Multi-sensor based strategy learning with deep reinforcement learning for unmanned ground vehicle
International Journal of Intelligent Networks, 2023 As intelligent Unmanned Ground Vehicles (UGVs) find broader applications in areas such as transportation and logistics. The fusion of multiple sensors becomes crucial, since it not only amplifies UGV perception in dynamic scenarios but also underpins ...
Mingyu Luo
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