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

Abdel-Hafez, MamounDiab, Karim2025-06-192025-06-192025-0435.232-2025.05https://hdl.handle.net/11073/26143A 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 Certificate, Approval Signatures, and AUS Archives Consent Form).en-USStochastic estimationKalman filterProcess noise covarianceGaussian process regressionStochastic differential equationsUnmanned ground vehiclesMobile vehiclesH-Adaptive and Gaussian Processes Techniques for High-Accuracy State Estimation of Ground VehiclesThesis