A Cross-Modal Attention-Driven Multi-Sensor Fusion Method for Semantic Segmentation of Point Clouds. [PDF]
Shi H, Wang X, Zhao J, Hua X.
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Robust Multi-Sensor Fusion for Localization in Hazardous Environments Using Thermal, LiDAR, and GNSS Data. [PDF]
Schichler L, Festl K, Solmaz S.
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An Integrated Low-Cost Underwater Navigation Solution for Divers Employing an INS Composed of Low-Cost Sensors Using the Robust Kalman Filter and Sensor Fusion. [PDF]
Hayashi T, Terada D.
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Quality Evaluation for Colored Point Clouds Produced by Autonomous Vehicle Sensor Fusion Systems. [PDF]
Schaefer C, Kootbally Z, Nguyen V.
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Graph neural network-tracker: a graph neural network-based multi-sensor fusion framework for robust unmanned aerial vehicle tracking. [PDF]
Dabbabi K, Delleji T.
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Construction and performance verification of an automated assembly system for aero engine principal shaft enabled by multi sensor fusion. [PDF]
Huang X, Liu Z, Shi G, Tan J.
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Sensor networks are gaining considerable attention nowadays. Pre and post processing of the measured data in such networks is crucial to the conservation of power and communication resources. We address the optimization of these processing requirements in addition to the tradeoff between network parameters.
José M. F. Moura, Saeed A. Aldosari
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