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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 421–430 of 509 papers

TitleStatusHype
Sensor fusion using EMG and vision for hand gesture classification in mobile applications—0
Improvements to Target-Based 3D LiDAR to Camera CalibrationCode1
Direct Visual-Inertial Odometry with Semi-Dense Mapping—0
Sensor Fusion: Gated Recurrent Fusion to Learn Driving Behavior from Temporal Multimodal Data—0
A deep adversarial approach based on multi-sensor fusion for remaining useful life prognostics—0
Sensor Fusion for Magneto-Inductive Navigation—0
Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to Cloud—0
LiDARTag: A Real-Time Fiducial Tag System for Point CloudsCode1
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction—0
Deep Sensor Fusion for Real-Time Odometry Estimation—0
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