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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 251–260 of 509 papers

TitleStatusHype
Optimal Fault-Tolerant Data Fusion in Sensor Networks: Fundamental Limits and Efficient Algorithms—0
Optimal Sensor Data Fusion Architecture for Object Detection in Adverse Weather Conditions—0
Optimized Gated Deep Learning Architectures for Sensor Fusion—0
Over-the-Air Multi-Sensor Inference with Neural Networks Using Memristor-Based Analog Computing—0
Pan-Tilt Camera and PIR Sensor Fusion Based Moving Object Detection for Mobile Security Robots—0
Penalty-Based Imitation Learning With Cross Semantics Generation Sensor Fusion for Autonomous Driving—0
Perception for Humanoid Robots—0
PerceptionNet: A Deep Convolutional Neural Network for Late Sensor Fusion—0
Physics and semantic informed multi-sensor calibration via optimization theory and self-supervised learning—0
PhysioGait: Context-Aware Physiological Context Modeling for Person Re-identification Attack on Wearable Sensing—0
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