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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
A Comparative Study on Machine Learning Algorithms for the Control of a Wall Following Robot—0
Migrating Monarch Butterfly Localization Using Multi-Sensor Fusion Neural Networks—0
Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal Data—0
SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and Depth Estimation—0
Sensor fusion using EMG and vision for hand gesture classification in mobile applications—0
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
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