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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 361–370 of 509 papers

TitleStatusHype
EagerMOT: 3D Multi-Object Tracking via Sensor FusionCode1
On the Role of Sensor Fusion for Object Detection in Future Vehicular Networks—0
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular CamerasCode1
Robust Sensor Fusion Algorithms Against Voice Command Attacks in Autonomous VehiclesCode0
Multi-Modal Fusion Transformer for End-to-End Autonomous DrivingCode2
Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems—0
Transmitter Discovery through Radio-Visual Probabilistic Active Sensing—0
IMU Data Processing For Inertial Aided Navigation: A Recurrent Neural Network Based Approach—0
Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth Estimation—0
Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures—0
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