Publication: Towards improving the robustness and generalizability of camera-based bird's eye view segmentation models
| dc.contributor.advisor | Güney, Fatma | |
| dc.contributor.kuauthor | Barın, Merve Rabia | |
| dc.contributor.program | Computer Science and Engineering | |
| dc.contributor.referee | Ekenel, Hazım Kemal | |
| dc.contributor.referee | Yanardağ, Pınar | |
| dc.contributor.schoolcollegeinstitute | GRADUATE SCHOOL OF SCIENCES AND ENGINEERING | |
| dc.coverage.spatial | İstanbul | |
| dc.date.accessioned | 2026-09-10T10:13:17Z | |
| dc.date.issued | 2025 | |
| dc.description.fulltext | Yes | |
| dc.format.extent | xviii, 75 leaves ;; 30 cm. | |
| dc.identifier.embargo | No | |
| dc.identifier.endpage | 93 | |
| dc.identifier.filenameinventoryno | T_2025_113_GSSE | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14288/35261 | |
| dc.identifier.yoktezid | 974541 | |
| dc.identifier.yoktezlink | https://tez.yok.gov.tr/UlusalTezMerkezi/TezGoster?key=V-oEQd0LkkqRGCXNzJWCTdggSZaDASXQkl8KPYQZQSBNbz_ERss76Lq06XBddY-9 | |
| dc.keywords | Bird’s eye view (BEV) segmentation, Camera-based perception, Deep learning, Model robustness | |
| dc.keywords | Anahtar kelimeler: Kuşbakışı görünüm (BEV) segmentasyonu, Kamera tabanlı algılama, Derin öğrenme, Model sağlamlığı.; | |
| dc.language | eng | |
| dc.publisher | Koç University | |
| dc.relation.collection | Koç University Theses & Dissertations Collection | |
| dc.rights | restrictedAccess | |
| dc.rights.copyrightsnote | © All Rights Reserved. Accessible to Koç University Affiliated Users Only! | |
| dc.subject | Computer vision | |
| dc.subject | Pattern perception | |
| dc.subject | Machine learning | |
| dc.subject | Artificial intelligence | |
| dc.title | Towards improving the robustness and generalizability of camera-based bird's eye view segmentation models | |
| dc.title.alternative | Kuş bakışı görünüm (bird's eye view) segmentasyon modellerinin sağlamlığını ve günelleme yeteneğini geliştirme | |
| dc.type | Thesis | |
| dspace.entity.type | Publication | |
| relation.isAdvisorOfThesis | 638ed6c9-2ba4-42de-a070-ee7506314353 | |
| relation.isAdvisorOfThesis.latestForDiscovery | 638ed6c9-2ba4-42de-a070-ee7506314353 | |
| relation.isParentOrgUnitOfPublication | 434c9663-2b11-4e66-9399-c863e2ebae43 | |
| relation.isParentOrgUnitOfPublication.latestForDiscovery | 434c9663-2b11-4e66-9399-c863e2ebae43 |
