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Thesis

Learning place-dependant features for long-term vision-based localisation

Abstract:

In order for autonomous vehicles to achieve life-long operation in outdoor environments, navigation systems must be able to cope with visual change---whether it's short term, such as variable lighting or weather conditions, or long term, such as different seasons. As a GPS is not always reliable, autonomous vehicles must be self sufficient with onboard sensors. This thesis examines the problem of localisation against a known map across extreme lighting and weather conditions using only a s...

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Lady Margaret Hall
Role:
Author

Contributors

Division:
MPLS
Department:
Engineering Science
Role:
Supervisor
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Funding agency for:
McManus, C
Publication date:
2014
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
Oxford University, UK
Language:
English
Keywords:
Subjects:
UUID:
uuid:088715bb-cfba-408e-b1f6-b307ae43be97
Local pid:
ora:9650
Deposit date:
2015-01-06

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