Thesis
Object localisation for scene understanding in 3D
- Abstract:
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Understanding the surrounding physical world is key to the successful application of many intelligent systems, including self-driving cars and delivery robots. As a fundamental component towards this capability, object localisation has been widely studied using various sensors, particularly those operating in the optical regime such as cameras and LIDAR. The most prevalent form of object localisation is accomplished by detection and segmentation in a local sensor frame, followed by tracking o...
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- Files:
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(Preview, Dissemination version, pdf, 35.5MB, Terms of use)
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Authors
Contributors
+ Trigoni, N
- Institution:
- University of Oxford
- Division:
- MPLS
- Department:
- Computer Science
- Oxford college:
- Kellogg College
- Role:
- Supervisor
+ Markham, A
- Institution:
- University of Oxford
- Division:
- MPLS
- Department:
- Computer Science
- Oxford college:
- Kellogg College
- Role:
- Supervisor
- DOI:
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Language:
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English
- Keywords:
- Subjects:
- Deposit date:
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2026-01-26
- ARK identifier:
Terms of use
- Copyright holder:
- Sangyun Shin
- Copyright date:
- 2024
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