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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 251–260 of 509 papers

TitleStatusHype
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
Intelligent Resource Allocation in Joint Radar-Communication With Graph Neural NetworksCode1
On Uncertainty in Deep State Space Models for Model-Based Reinforcement LearningCode1
Exploring Contextual Representation and Multi-Modality for End-to-End Autonomous Driving—0
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