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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 121–130 of 509 papers

TitleStatusHype
DigitalExposome: Quantifying the Urban Environment Influence on Wellbeing based on Real-Time Multi-Sensor Fusion and Deep Belief Network—0
Direct Visual-Inertial Odometry with Semi-Dense Mapping—0
Augmenting End-to-End Steering Angle Prediction with CAN Bus Data—0
Distance Estimation in Outdoor Driving Environments Using Phase-only Correlation Method with Event Cameras—0
CurbScan: Curb Detection and Tracking Using Multi-Sensor Fusion—0
BEVMOSNet: Multimodal Fusion for BEV Moving Object Segmentation—0
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
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