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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 1–10 of 509 papers

TitleStatusHype
Data-Driven Meta-Analysis and Public-Dataset Evaluation for Sensor-Based Gait Age Estimation—0
Event-RGB Fusion for Spacecraft Pose Estimation Under Harsh LightingCode0
Integrating Multi-Modal Sensors: A Review of Fusion Techniques for Intelligent Vehicles—0
A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects—0
Quantum Artificial Intelligence for Secure Autonomous Vehicle Navigation: An Architectural Proposal—0
A Novel ViDAR Device With Visual Inertial Encoder Odometry and Reinforcement Learning-Based Active SLAM Method—0
Deep Fusion of Ultra-Low-Resolution Thermal Camera and Gyroscope Data for Lighting-Robust and Compute-Efficient Rotational Odometry—0
Robust sensor fusion against on-vehicle sensor staleness—0
Sensor Fusion for Track Geometry Monitoring: Integrating On-Board Data and Degradation Models via Kalman Filtering—0
Sensor Fusion Methods for Gaussian Mixture Models—0
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