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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 261–270 of 509 papers

TitleStatusHype
On Embedding B-Splines in Recursive State Estimation—0
CARMA: Context-Aware Runtime Reconfiguration for Energy-Efficient Sensor Fusion—0
Inertial Navigation Meets Deep Learning: A Survey of Current Trends and Future Directions—0
Towards a Robust Sensor Fusion Step for 3D Object Detection on Corrupted DataCode0
Benchmarking Robustness of AI-Enabled Multi-sensor Fusion Systems: Challenges and Opportunities—0
Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced Driver-Assistance System—0
Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence—0
Distributed outer approximation of the intersection of ellipsoids—0
Multimodal sensor fusion for real-time location-dependent defect detection in laser-directed energy deposition—0
RGB-D And Thermal Sensor Fusion: A Systematic Literature Review—0
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