Inertial Navigation System Drift Reduction Using Scientific Machine Learning
Inertial Navigation Systems (INS) are crucial for accurate navigation in GPS-denied environments, but they suffer from drift errors that accumulate over time. This thesis introduces Scientific Machine Learning (SciML) as an innovative approach to mitigate INS drift by integrating physical models wit...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/156966 |