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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 51–60 of 509 papers

TitleStatusHype
Over-the-Air Multi-Sensor Inference with Neural Networks Using Memristor-Based Analog Computing—0
GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping—0
A Survey on Dynamic Neural Networks: from Computer Vision to Multi-modal Sensor FusionCode1
Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach—0
Minimizing Occlusion Effect on Multi-View Camera Perception in BEV with Multi-Sensor Fusion—0
Neural Error Covariance Estimation for Precise LiDAR Localization—0
IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution—0
MSC-Bench: Benchmarking and Analyzing Multi-Sensor Corruption for Driving Perception—0
Leveraging Large Language Models for Enhancing Autonomous Vehicle Perception—0
Adaptive Signal Analysis for Automated Subsurface Defect Detection Using Impact Echo in Concrete Slabs—0
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