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A Hybrid Model and Learning-Based Adaptive Navigation Filter
Barak Or
,
Itzik Klein
National Security Studies Center
Department of Marine Technologies
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peer-review
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Dive into the research topics of 'A Hybrid Model and Learning-Based Adaptive Navigation Filter'. Together they form a unique fingerprint.
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Keyphrases
Learning-based
100%
Hybrid Model
100%
Navigation Filter
100%
Adaptive Navigation
100%
Hybrid Learning
100%
Process Noise Covariance
100%
Kalman Filter
75%
Inertial Sensors
50%
Vehicle Dynamics
50%
Inertial Navigation System
25%
Global Navigation Satellite System
25%
Experiment Results
25%
Quadrotor
25%
Sensor Measurement
25%
Covariance-based
25%
Drone
25%
Deep Neural Network
25%
Sensor Readings
25%
Estimation Problem
25%
Solution Accuracy
25%
Land Vehicles
25%
Hybrid Framework
25%
Position Error
25%
Extended Kalman Filter
25%
Vehicle Sensors
25%
Measurement Variability
25%
Real-time Solution
25%
Dynamic Measurement
25%
Marine Vessels
25%
System Noise
25%
Sensor Data Quality
25%
System Navigation
25%
Noise Covariance
25%
Dynamic Uncertainty
25%
Adaptive Approach
25%
Adaptation Models
25%
Engineering
Process Noise
100%
Hybrid Model
100%
Based Kalman Filter
75%
Inertial Sensor
50%
Vehicle Dynamics
50%
Inertial Navigation System
25%
Sensor Measurement
25%
Drone
25%
Sensor Reading
25%
Network Model
25%
Position Error
25%
Extended Kalman Filter
25%
Vehicle Sensor
25%
Solution Time
25%
Deep Neural Network
25%
Quadcopter
25%
Mathematics
Covariance
100%
Kalman Filtering
80%
Network Model
20%
Deep Neural Network
20%