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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 171–180 of 509 papers

TitleStatusHype
Cross-Domain Spatial Matching for Camera and Radar Sensor Data Fusion in Autonomous Vehicle Perception System—0
HARU: Haptic Augmented Reality-Assisted User-Centric Industrial Network Planning—0
All-day Depth Completion—0
A dataset for multi-sensor drone detection—0
A Certifiable Security Patch for Object Tracking in Self-Driving Systems via Historical Deviation Modeling—0
3DGS-Calib: 3D Gaussian Splatting for Multimodal SpatioTemporal Calibration—0
Coordinated Heterogeneous Distributed Perception based on Latent Space Representation—0
ContextualFusion: Context-Based Multi-Sensor Fusion for 3D Object Detection in Adverse Operating Conditions—0
Attention-Based Sensor Fusion for Human Activity Recognition Using IMU Signals—0
Consensus-based Distributed Variational Multi-object Tracker in Multi-Sensor Network—0
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