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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 231–240 of 509 papers

TitleStatusHype
DEFLOW: Self-supervised 3D Motion Estimation of Debris FlowCode1
Tightly-coupled Visual-DVL-Inertial Odometry for Robot-based Ice-water Boundary ExplorationCode1
Automatic breach detection during spine pedicle drilling based on vibroacoustic sensing—0
Penalty-Based Imitation Learning With Cross Semantics Generation Sensor Fusion for Autonomous Driving—0
Stress Detection using Context-Aware Sensor Fusion from Wearable Devices—0
A Modular Platform For Collaborative, Distributed Sensor FusionCode0
FusionLoc: Camera-2D LiDAR Fusion Using Multi-Head Self-Attention for End-to-End Serving Robot Relocalization—0
Deep Learning for Inertial Positioning: A Survey—0
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review—0
DFR-FastMOT: Detection Failure Resistant Tracker for Fast Multi-Object Tracking Based on Sensor FusionCode1
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