Thesis
Iterative Local Model Selection for tracking and mapping
- Abstract:
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The past decade has seen great progress in research on large scale mapping and perception in static environments. Real world perception requires handling uncertain situations with multiple possible interpretations: e.g. changing appearances, dynamic objects, and varying motion models. These aspects of perception have been largely avoided through the use of heuristics and preprocessing. This thesis is motivated by the challenge of including discrete reasoning directly into the estimation pr...
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Authors
Contributors
+ Reid, I
Division:
MPLS
Department:
Engineering Science
Role:
Supervisor
+ Murphy, D
Division:
MPLS
Department:
Engineering Science
Role:
Supervisor
Funding
+ Engineering and Physical Sciences Research Council
More from this funder
Funding agency for:
Segal, A
Grant:
EP/H050795
Bibliographic Details
- Publication date:
- 2014
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
Item Description
- Language:
- English
- Keywords:
- Subjects:
- UUID:
-
uuid:8690e0e0-33c5-403e-afdf-e5538e5d304f
- Local pid:
- ora:12439
- Deposit date:
- 2016-04-26
Terms of use
- Copyright holder:
- Segal, A
- Copyright date:
- 2014
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