Results 1 to 10 of about 312,110 (285)
Sensor Data Fusion in Multi-Sensor Weigh-In-Motion Systems [PDF]
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 Data Fusion Analysis for Broad Applications [PDF]
SensorsSensor data fusion analysis plays a pivotal role in a variety of fields by integrating data from multiple sensors to produce more accurate, reliable, and comprehensive information than that achieved by individual sensors alone [...]
Natividad Duro
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Sensor network data fusion methods
Mokslas: Lietuvos Ateitis, 2010 Sensor network data fusion is widely used in warfare, in areas such as automatic target recognition, battlefield surveillance, automatic vehicle control, multiple target surveillance, etc. Non-military use example are: medical equipment status monitoring,
Martynas Vervečka
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City Data Fusion: Sensor Data Fusion in the Internet of Things
, 2015 Internet of Things (IoT) has gained substantial attention recently and play a significant role in smart city application deployments. A number of such smart city applications depend on sensor fusion capabilities in the cloud from diverse data sources. We introduce the concept of IoT and present in detail ten different parameters that govern our sensor ...
Wang, Meisong +5 more
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Data Fusion in Wireless Sensor Networks [PDF]
International Journal of Distributed Sensor Networks, 2014 1 Department of Electronic and Information Engineering, Key Laboratory of Communication and Information Systems, Beijing Municipal Commission of Education, Beijing Jiaotong University, Beijing 100044, China 2Department of Computer Systems Technology, North Carolina A&T State University, Greensboro, NC 27411, USA 3Department of Computer Science ...
Yun Liu, Qing-An Zeng, Ying-Hong Wang
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Atmosphere, 2023 In order to study the influence of typical coal-fired flue gas components on the supersaturation characteristics in a multisection growth tube, a two-dimensional heat and mass transfer model was used to predict the supersaturation profiles formed by the ...
Yan Yu +6 more
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A GRAPH BASED BUNDLE ADJUSTMENT FOR INS-CAMERA CALIBRATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 In this paper, we present a graph based approach for performing the system calibration of a sensor suite containing a fixed mounted camera and an inertial navigation system.
D. Bender +5 more
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A sensor data fusion algorithm based on suboptimal network powered deep learning
Alexandria Engineering Journal, 2022 To improve the performance of data fusion in wireless sensor networks, based on the suboptimal network powered deep learning model, a data fusion algorithm that combines a stacked autoencoder (SAE) and a clustering protocol is proposed.
Ning Pan
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Radar Voxel Fusion for 3D Object Detection
Applied Sciences, 2021 Automotive traffic scenes are complex due to the variety of possible scenarios, objects, and weather conditions that need to be handled. In contrast to more constrained environments, such as automated underground trains, automotive perception systems ...
Felix Nobis +4 more
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Choosing the Best Sensor Fusion Method: A Machine-Learning Approach
Sensors, 2020 Multi-sensor fusion refers to methods used for combining information coming from several sensors (in some cases, different ones) with the aim to make one sensor compensate for the weaknesses of others or to improve the overall accuracy or the reliability
Ramon F. Brena +4 more
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