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Sensor Fusion

Sensor fusion is the process of combining sensor data or data derived from disparate sources such that the resulting information has less uncertainty than would be possible when these sources were used individually. [Wikipedia]

Papers

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Showing 291–300 of 509 papers

TitleStatusHype
Ensemble Learning for Fusion of Multiview Vision with Occlusion and Missing Information: Framework and Evaluations with Real-World Data and Applications in Driver Hand Activity Recognition—0
AstroSLAM: Autonomous Monocular Navigation in the Vicinity of a Celestial Small Body -- Theory and Experiments—0
Segment-based fusion of multi-sensor multi-scale satellite soil moisture retrievals—0
ViFi-Loc: Multi-modal Pedestrian Localization using GAN with Camera-Phone Correspondences—0
Estimation of Appearance and Occupancy Information in Birds Eye View from Surround Monocular Images—0
"Seeing Sound": Audio Classification with the Wigner-Wille Distribution and Convolutional Neural Networks—0
PhysioGait: Context-Aware Physiological Context Modeling for Person Re-identification Attack on Wearable Sensing—0
MSF3DDETR: Multi-Sensor Fusion 3D Detection Transformer for Autonomous Driving—0
Sensor interoperability and fusion in signature verification: A case study using tablet PC—0
A Multimodal Sensor Fusion Framework Robust to Missing Modalities for Person Recognition—0
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