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Thesis

Learning methods for robust localization

Abstract:

Location awareness is a fundamental need for intelligent systems, such as self-driving vehicles, delivery drones, and mobile devices. Given their on-board sensors (e.g. camera, inertial sensor and LIDAR), previous researchers have developed a variety of localization systems, by building hand-crafted models and algorithms. Under ideal conditions, these sensors and models are able to accurately estimate system states without time bound. However, in real-world environments, many issues such a...

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Division:
MPLS
Department:
Computer Science
Role:
Author

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Role:
Supervisor
Role:
Supervisor
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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