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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 211–220 of 509 papers

TitleStatusHype
Comparative Analysis of XGBoost and Minirocket Algortihms for Human Activity Recognition—0
Secure Navigation using Landmark-based Localization in a GPS-denied Environment—0
GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal SensorsCode0
Multi-View Conformal Learning for Heterogeneous Sensor FusionCode0
Landmark-based Localization using Stereo Vision and Deep Learning in GPS-Denied Battlefield Environment—0
AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion—0
Fisheye Camera and Ultrasonic Sensor Fusion For Near-Field Obstacle Perception in Bird's-Eye-View—0
iMove: Exploring Bio-impedance Sensing for Fitness Activity Recognition—0
Efficient Gesture Recognition on Spiking Convolutional Networks Through Sensor Fusion of Event-Based and Depth Data—0
Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield PredictionCode0
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