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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 131–140 of 509 papers

TitleStatusHype
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
Robust Heart Rate Detection via Multi-Site PhotoplethysmographyCode0
Adaptive Signal Analysis for Automated Subsurface Defect Detection Using Impact Echo in Concrete Slabs—0
Dual Unscented Kalman Filter Architecture for Sensor Fusion in Water Networks Leak LocalizationCode0
On Pooling-Based Track Fusion Strategies : Harmonic Mean Density—0
Harmonic Mean Density Fusion in Distributed Tracking: Performance and Comparison—0
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