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Thesis

Iterative Local Model Selection for tracking and mapping

Abstract:

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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Institution:
University of Oxford
Research group:
Active Vision Lab, Robotics Group
Oxford college:
St Anne's College
Department:
Mathematical,Physical & Life Sciences Division - Engineering Science

Contributors

Role:
Supervisor
Role:
Supervisor
Publication date:
2014
Type of award:
DPhil
Level of award:
Doctoral
URN:
uuid:8690e0e0-33c5-403e-afdf-e5538e5d304f
Local pid:
ora:12439

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