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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
Decentralised Variational Inference Frameworks for Multi-object Tracking on Sensor Networks: Additional Notes—0
Robust Long-Range Perception Against Sensor Misalignment in Autonomous Vehicles—0
AI-Enabled sensor fusion of time of flight imaging and mmwave for concealed metal detection—0
YOCO: You Only Calibrate Once for Accurate Extrinsic Parameter in LiDAR-Camera Systems—0
Velocity Driven Vision: Asynchronous Sensor Fusion Birds Eye View Models for Autonomous Vehicles—0
Boosting Online 3D Multi-Object Tracking through Camera-Radar Cross Check—0
Uplifting Range-View-based 3D Semantic Segmentation in Real-Time with Multi-Sensor Fusion—0
Efficient Fusion and Task Guided Embedding for End-to-end Autonomous Driving—0
Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving—0
Deep learning empowered sensor fusion boosts infant movement classification—0
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