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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 311–320 of 509 papers

TitleStatusHype
Comparative study of 3D object detection frameworks based on LiDAR data and sensor fusion techniques—0
Design of Sensor Fusion Driver Assistance System for Active Pedestrian Safety—0
Runtime Monitoring and Statistical Approaches for Correlation Analysis of ECG and PPG—0
Nonlinear Unknown Input Observability and Unknown Input Reconstruction: The General Analytical Solution—0
HydraFusion: Context-Aware Selective Sensor Fusion for Robust and Efficient Autonomous Vehicle PerceptionCode1
Multiresolution Fully Convolutional Networks to detect Clouds and Snow through Optical Satellite Images—0
A sensor fusion system with thermal infrared camera and LiDAR for autonomous vehicles and deep learning based object detection—0
Multi-Camera Sensor Fusion for Visual Odometry using Deep Uncertainty Estimation—0
Multispectral image fusion based on super pixel segmentationCode0
Attention-Based Sensor Fusion for Human Activity Recognition Using IMU Signals—0
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