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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 71–80 of 509 papers

TitleStatusHype
Zonal Architecture Development with evolution of Artificial Intelligence—0
EVT: Efficient View Transformation for Multi-Modal 3D Object Detection—0
Advancing Autonomous Driving Perception: Analysis of Sensor Fusion and Computer Vision Techniques—0
Efficient Unsupervised Domain Adaptation Regression for Spatial-Temporal Air Quality Sensor Fusion—0
Federated Data-Driven Kalman Filtering for State Estimation—0
Graph-Based Multi-Modal Sensor Fusion for Autonomous Driving—0
Resource-Efficient Sensor Fusion via System-Wide Dynamic Gated Neural Networks—0
Multi-Sensor Fusion for UAV Classification Based on Feature Maps of Image and Radar Data—0
Event-based Sensor Fusion and Application on Odometry: A Survey—0
Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion—0
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