H-Adaptive and Gaussian Processes Techniques for High-Accuracy State Estimation of Ground Vehicles

H-Adaptive and Gaussian Processes Techniques for High-Accuracy State Estimation of Ground Vehicles

A Master of Science thesis in Mechatronics Engineering by Karim Diab entitled, “H-Adaptive and Gaussian Processes Techniques for High-Accuracy State Estimation of Ground Vehicles”, submitted in April 2025. Thesis advisor is Dr. Mamoun Abdel-Hafez. Soft copy is available (Thesis, Completion Certifica...

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Bibliographic Details
Main Author: Diab, Karim (author)
Format: doctoralThesis
Published: 2025
Subjects:
Stochastic estimation
Kalman filter
Process noise covariance
Gaussian process regression
Stochastic differential equations
Unmanned ground vehicles
Mobile vehicles
Online Access:https://hdl.handle.net/11073/26143
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https://hdl.handle.net/11073/26143

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