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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 431–440 of 509 papers

TitleStatusHype
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction—0
Deep Sensor Fusion for Real-Time Odometry Estimation—0
Robust Multi-Modal Sensor Fusion: An Adversarial Approach—0
RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving—0
From User-independent to Personal Human Activity Recognition Models Exploiting the Sensors of a Smartphone—0
Uncertainty Estimation in One-Stage Object DetectionCode0
Robust Semantic Segmentation in Adverse Weather Conditions by means of Sensor Data Fusion—0
Bi-objective Framework for Sensor Fusion in RGB-D Multi-View Systems: Applications in Calibration—0
FASTER: Fusion AnalyticS for public Transport Event Response—0
Deep Generative Models for learning Coherent Latent Representations from Multi-Modal Data—0
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