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...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | doctoralThesis |
| منشور في: |
2025
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://hdl.handle.net/11073/26143 |
| الوسوم: |
إضافة وسم
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| _version_ | 1864513436298248192 |
|---|---|
| author | Diab, Karim |
| author_facet | Diab, Karim |
| author_role | author |
| dc.contributor.none.fl_str_mv | Abdel-Hafez, Mamoun |
| dc.creator.none.fl_str_mv | Diab, Karim |
| dc.date.none.fl_str_mv | 2025-06-19T08:03:39Z 2025-06-19T08:03:39Z 2025-04 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 35.232-2025.05 https://hdl.handle.net/11073/26143 |
| dc.language.none.fl_str_mv | en_US |
| dc.subject.none.fl_str_mv | Stochastic estimation Kalman filter Process noise covariance Gaussian process regression Stochastic differential equations Unmanned ground vehicles Mobile vehicles |
| dc.title.none.fl_str_mv | H-Adaptive and Gaussian Processes Techniques for High-Accuracy State Estimation of Ground Vehicles |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/doctoralThesis |
| description | 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 Certificate, Approval Signatures, and AUS Archives Consent Form). |
| format | doctoralThesis |
| id | aus_00f32e77b01927ad167a802ad76e3ff1 |
| identifier_str_mv | 35.232-2025.05 |
| language_invalid_str_mv | en_US |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/26143 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | H-Adaptive and Gaussian Processes Techniques for High-Accuracy State Estimation of Ground VehiclesDiab, KarimStochastic estimationKalman filterProcess noise covarianceGaussian process regressionStochastic differential equationsUnmanned ground vehiclesMobile vehiclesA 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).College of EngineeringMultidisciplinary ProgramsMaster of Science in Mechatronics Engineering (MSMTR)Abdel-Hafez, Mamoun2025-06-19T08:03:39Z2025-06-19T08:03:39Z2025-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2025.05https://hdl.handle.net/11073/26143en_USoai:repository.aus.edu:11073/261432025-06-26T12:27:31Z |
| spellingShingle | H-Adaptive and Gaussian Processes Techniques for High-Accuracy State Estimation of Ground Vehicles Diab, Karim Stochastic estimation Kalman filter Process noise covariance Gaussian process regression Stochastic differential equations Unmanned ground vehicles Mobile vehicles |
| status_str | publishedVersion |
| title | H-Adaptive and Gaussian Processes Techniques for High-Accuracy State Estimation of Ground Vehicles |
| title_full | H-Adaptive and Gaussian Processes Techniques for High-Accuracy State Estimation of Ground Vehicles |
| title_fullStr | H-Adaptive and Gaussian Processes Techniques for High-Accuracy State Estimation of Ground Vehicles |
| title_full_unstemmed | H-Adaptive and Gaussian Processes Techniques for High-Accuracy State Estimation of Ground Vehicles |
| title_short | H-Adaptive and Gaussian Processes Techniques for High-Accuracy State Estimation of Ground Vehicles |
| title_sort | H-Adaptive and Gaussian Processes Techniques for High-Accuracy State Estimation of Ground Vehicles |
| topic | Stochastic estimation Kalman filter Process noise covariance Gaussian process regression Stochastic differential equations Unmanned ground vehicles Mobile vehicles |
| url | https://hdl.handle.net/11073/26143 |