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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 171–180 of 509 papers

TitleStatusHype
Radar-Lidar Fusion for Object Detection by Designing Effective Convolution Networks—0
Precise Distributed Satellite Navigation: Differential GPS with Sensor-Coupling for Integer Ambiguity Resolution—0
Augmenting End-to-End Steering Angle Prediction with CAN Bus Data—0
LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task LearningCode1
Multimodal Active Measurement for Human Mesh Recovery in Close ProximityCode0
ShaSTA-Fuse: Camera-LiDAR Sensor Fusion to Model Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking—0
Managing the Impact of Sensor's Thermal Noise in Machine Learning for Nuclear Applications—0
OceanBench: The Sea Surface Height EditionCode1
Perception for Humanoid Robots—0
Addressing Data Misalignment in Image-LiDAR Fusion on Point Cloud Segmentation—0
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