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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 241–250 of 509 papers

TitleStatusHype
ML-KFHE: Multi-label ensemble classification algorithm exploiting sensor fusion properties of the Kalman filter—0
Estimation of Appearance and Occupancy Information in Birds Eye View from Surround Monocular Images—0
Landmark Alternating Diffusion—0
Landmark-based Localization using Stereo Vision and Deep Learning in GPS-Denied Battlefield Environment—0
Latent Variable Algorithms for Multimodal Learning and Sensor Fusion—0
Direct Visual-Inertial Odometry with Semi-Dense Mapping—0
Environmental Sensing by Wearable Device for Indoor Activity and Location Estimation—0
Enhancing Track Management Systems with Vehicle-To-Vehicle Enabled Sensor Fusion—0
Learning a Joint Embedding of Multiple Satellite Sensors: A Case Study for Lake Ice Monitoring—0
Enhanced Radar Perception via Multi-Task Learning: Towards Refined Data for Sensor Fusion Applications—0
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