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MLCA—a machine learning framework for ins coarse alignment
Idan Zak
, Reuven Katz
,
Itzik Klein
Department of Marine Technologies
Research output
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Article
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peer-review
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Keyphrases
Coarse Alignment
100%
Machine Learning Framework
100%
Navigation Solution
60%
Roll Angle
40%
Pitch Angle
40%
Inertial Navigation System
20%
Velocity Vector
20%
Smartphone
20%
Machine Learning Approach
20%
Inertial Sensors
20%
Alignment Method
20%
Two-stage Approach
20%
Initial Attitude
20%
Position Vector
20%
Solution Accuracy
20%
Accelerometer Measurements
20%
Initial Position
20%
Dead Reckoning System
20%
Alignment Stage
20%
Alignment Process
20%
Initial Velocity
20%
Classical Machine Learning
20%
Platform Location
20%
Low-cost Inertial Sensor
20%
Engineering
Learning System
100%
Inertial Sensor
66%
Velocity Vector
33%
Learning Approach
33%
Initial Condition
33%
Initial Position
33%
Initial Velocity
33%
Smartphone
33%
Inertial navigation systems
33%