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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 151–160 of 509 papers

TitleStatusHype
Robust Deep Multi-Modal Sensor Fusion using Fusion Weight Regularization and Target Learning—0
Deep Learning for Inertial Positioning: A Survey—0
Deep learning empowered sensor fusion boosts infant movement classification—0
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies—0
Deep Generative Models for learning Coherent Latent Representations from Multi-Modal Data—0
Deep Fusion of Ultra-Low-Resolution Thermal Camera and Gyroscope Data for Lighting-Robust and Compute-Efficient Rotational Odometry—0
Automatic Odometry-Less OpenDRIVE Generation From Sparse Point Clouds—0
Deep convolutional neural networks for cyclic sensor data—0
Deep Bayesian ICP Covariance Estimation—0
Automatic breach detection during spine pedicle drilling based on vibroacoustic sensing—0
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