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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 376–400 of 509 papers

TitleStatusHype
On Pooling-Based Track Fusion Strategies : Harmonic Mean Density—0
On the Condition Monitoring of Bolted Joints through Acoustic Emission and Deep Transfer Learning: Generalization, Ordinal Loss and Super-Convergence—0
On the effects of angular acceleration in orientation estimation using inertial measurement units—0
On the Role of Sensor Fusion for Object Detection in Future Vehicular Networks—0
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
PhysNav-DG: A Novel Adaptive Framework for Robust VLM-Sensor Fusion in Navigation Applications—0
PIRVS: An Advanced Visual-Inertial SLAM System with Flexible Sensor Fusion and Hardware Co-Design—0
Pose estimation of CubeSats via sensor fusion and Error-State Extended Kalman Filter—0
Precise Distributed Satellite Navigation: Differential GPS with Sensor-Coupling for Integer Ambiguity Resolution—0
Probabilistic Bearing Fault Diagnosis Using Gaussian Process with Tailored Feature Extraction—0
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion—0
Probabilistic Segmentation for Robust Field of View Estimation—0
Probabilistic Sensor Fusion for Ambient Assisted Living—0
Progressive Multi-Modal Fusion for Robust 3D Object Detection—0
Proximity operations of CubeSats via sensor fusion of ultra-wideband range measurements with rate gyroscopes, accelerometers and monocular vision—0
PseudoCal: Towards Initialisation-Free Deep Learning-Based Camera-LiDAR Self-Calibration—0
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