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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 321–330 of 509 papers

TitleStatusHype
Sensor fusion using EMG and vision for hand gesture classification in mobile applications—0
Sensor interoperability and fusion in signature verification: A case study using tablet PC—0
Sequence Classification with Neural Conditional Random Fields—0
ShaSTA-Fuse: Camera-LiDAR Sensor Fusion to Model Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking—0
Short-Term Prediction and Multi-Camera Fusion on Semantic Grids—0
Siamese Learning-based Monarch Butterfly Localization—0
Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems—0
Some Extensions of Probabilistic Logic—0
SpotNet: An Image Centric, Lidar Anchored Approach To Long Range Perception—0
SST-Calib: Simultaneous Spatial-Temporal Parameter Calibration between LIDAR and Camera—0
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