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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 381–390 of 509 papers

TitleStatusHype
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
3D-FFS: Faster 3D object detection with Focused Frustum Search in sensor fusion based networks—0
Memory-Efficient, Limb Position-Aware Hand Gesture Recognition using Hyperdimensional Computing—0
Towards DeepSentinel: An extensible corpus of labelled Sentinel-1 and -2 imagery and a general-purpose sensor-fusion semantic embedding model—0
DigitalExposome: Quantifying the Urban Environment Influence on Wellbeing based on Real-Time Multi-Sensor Fusion and Deep Belief Network—0
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving—0
A Particle Filtering Framework for Integrity Risk of GNSS-Camera Sensor Fusion—0
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