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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 371–380 of 509 papers

TitleStatusHype
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
Estimation of kinematics from inertial measurement units using a combined deep learning and optimization frameworkCode1
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
Multi-Task Multi-Sensor Fusion for 3D Object Detection—0
Multi-view Sensor Fusion by Integrating Model-based Estimation and Graph Learning for Collaborative Object Localization—0
CenterFusion: Center-based Radar and Camera Fusion for 3D Object DetectionCode1
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