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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 261–270 of 509 papers

TitleStatusHype
Multiagent Reinforcement Learning Based on Fusion-Multiactor-Attention-Critic for Multiple-Unmanned-Aerial-Vehicle Navigation ControlCode1
Optimal Fault-Tolerant Data Fusion in Sensor Networks: Fundamental Limits and Efficient Algorithms—0
Data-Driven Meets Navigation: Concepts, Models, and Experimental Validation—0
Fusion of Inverse Synthetic Aperture Radar and Camera Images for Automotive Target Tracking—0
Center Feature Fusion: Selective Multi-Sensor Fusion of Center-based Objects—0
Decentralised possibilistic inference with applications to target tracking—0
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion—0
MIPI 2022 Challenge on RGBW Sensor Fusion: Dataset and Report—0
Multi-modal Streaming 3D Object Detection—0
Fault Signature Identification for BLDC motor Drive System -A Statistical Signal Fusion Approach—0
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