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...

Full description

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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 (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).

Similar Items