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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 221–230 of 509 papers

TitleStatusHype
Adaptive Signal Analysis for Automated Subsurface Defect Detection Using Impact Echo in Concrete Slabs—0
Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures—0
Fusing uncalibrated IMUs and handheld smartphone video to reconstruct knee kinematics—0
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems against Semantic Attacks—0
AstroSLAM: Autonomous Monocular Navigation in the Vicinity of a Celestial Small Body -- Theory and Experiments—0
InMyFace: Inertial and Mechanomyography-Based Sensor Fusion for Wearable Facial Activity Recognition—0
FusePose: IMU-Vision Sensor Fusion in Kinematic Space for Parametric Human Pose Estimation—0
In-situ surface porosity prediction in DED (directed energy deposition) printed SS316L parts using multimodal sensor fusion—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
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