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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
Integration of 5G and Motion Sensors for Vehicular Positioning: A Loosely-Coupled Approach—0
AstroSLAM: Autonomous Monocular Navigation in the Vicinity of a Celestial Small Body -- Theory and Experiments—0
FusePose: IMU-Vision Sensor Fusion in Kinematic Space for Parametric Human Pose Estimation—0
Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra—0
From User-independent to Personal Human Activity Recognition Models Exploiting the Sensors of a Smartphone—0
Combining Slow and Fast: Complementary Filtering for Dynamics Learning—0
From SLAM to Situational Awareness: Challenges and Survey—0
Joint Geodesic Upsampling of Depth Images—0
From Chaos to Calibration: A Geometric Mutual Information Approach to Target-Free Camera LiDAR Extrinsic Calibration—0
Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion—0
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