A Pose Initialization Method for Unmanned Vehicles Based on an Improved Siamese Neural Network and Multi-Stage Probabilistic Registration Localization. [PDF]
Yang J, Chen B, Shen W, Xu X.
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Multimodal data synchronization: a high-level software methodology for heterogeneous devices. [PDF]
Fruet D, Cimignolo S, Nollo G.
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A miniaturized wireless and passive antenna sensor with meandering structure for integrated multi-directional strain and temperature sensing. [PDF]
Guo L +8 more
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SparseTrack: A Physics-Informed Transformer Framework for Real-Time Human Motion Reconstruction from Sparse IMUs. [PDF]
Balasubramanyam A +5 more
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Information space of multi-sensor networks
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A Detection Method of Multi-Sensor for Radar Countermeasure Network
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020With the development of radar technology and system, detecting in radar countermeasure network will be an inevitable trend. However, directly using the sampled data for signal detection will cause a problem, i.e., the calculation amount will be larger as the numbers of receivers and samples increase.
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Decorrelators for multi‐sensor systems in CDMA networks
European Transactions on Telecommunications, 1995AbstractIn this paper we consider a multi‐sensor detection problem in both additive white Gaussian noise (AWGN) and fading channels with the users using the channel based on a code division multiple access (CDMA) scheme. Several multi‐sensor detectors that have been studied previously do offer good performance; however, these detectors require the ...
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Multi-Sensor Multi-Network Positioning
2012This chapter discusses methods for positioning utilizing multiple sensors and networks. For achieving seamless positioning and navigation in a smartphone from satellite signal denied areas such as indoors to everywhere outdoors, various technologies to replace and assist satellite navigation, and flexible integration algorithms for measurement fusion ...
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Multi-sensor networked estimation in electric power grids
2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2011The performance of a continuous-discrete Kalman filter using multi-sensor observations with irregular sampling patterns is analyzed in terms of the dynamics of the associated (predicted) error-covariance matrix. Irregular sampling may occur as a result of differences in sampling rates and/or lack of synchrony in a geographically-distributed power ...
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