DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 금동석 | - |
dc.contributor.author | Ahmed Magd Aly, Shehata | - |
dc.contributor.author | 아흐메드 | - |
dc.date.accessioned | 2024-07-25T19:30:51Z | - |
dc.date.available | 2024-07-25T19:30:51Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1045752&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/320564 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 로봇공학학제전공, 2023.8,[v, 48 p. :] | - |
dc.description.abstract | This thesis, investigates the application of diffusion models to improve the perception systems of autonomous vehicles. Leveraging semantic segmentation, we utilize bird's eye view mapping as a novel perspective for more robust environment comprehension. With a specific focus on the widely recognized NuScenes dataset, the research methodically unpacks the process of image segmentation, the propagation of error through the model, and the subsequent impacts on system comprehension and prediction. Emphasis is placed on the potential enhancements offered by diffusion models, as they allow for better uncertainty quantification, a key aspect in safety-critical applications such as autonomous driving. While the results achieved did not surpass the current state-of-the-art (SOTA) models, they provide critical insights into the nature and potential improvements in the handling of segmentation tasks for autonomous vehicles. The insights and learnings from this study will contribute significantly to future research aiming to refine and optimize perception models for autonomous driving. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | 자율주행차▼a고화질 매핑▼a조감도 세분화▼a확산 모델▼a딥러닝▼a컴퓨터 비전 | - |
dc.subject | Autonomous vehicles▼aHigh-definition mapping▼aBird's-eye-view segmentation▼aDiffusion models▼aDeep learning▼aComputer vision | - |
dc.title | Exploring diffusion models for semantic segmentation in bird's eye view mapping for autonomous vehicle perception | - |
dc.title.alternative | 자율주행 차량 인식을 위한 Bird's Eye View 매핑에서 의미론적 세분화를 위한 확산 모델 탐색 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :로봇공학학제전공, | - |
dc.contributor.alternativeauthor | Kum, Dongsuk | - |
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