Enhanced Deep Fusion Filter for Low-Cost INS/GPS Integration

Enhanced Deep Fusion Filter for Low-Cost INS/GPS Integration

A Master of Science thesis in Mechatronics Engineering by Mohamed Ismail Abdelghani entitled, “Enhanced Deep Fusion Filter for Low-Cost INS/GPS Integration”, submitted in April 2024. Thesis advisor is Dr. Mohammad Jaradat and thesis co-advisor is Dr. Mamoun Abdel-Hafez. Soft copy is available (Thesi...

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Bibliographic Details
Main Author: Abdelghani, Mohamed Ismail (author)
Format: doctoralThesis
Published: 2024
Subjects:
Autonomous Navigation
Sensor Fusion
Artificial Intelligence
Kalman Filter
Online Access:https://hdl.handle.net/11073/25632
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https://hdl.handle.net/11073/25632

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