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Thesis

Effective representations for road scene understanding with scalable learning

Abstract:

Autonomous vehicles require an accurate understanding of the scene for safe operation in real-world driving scenarios. This thesis examines and offers effective representations for road scene understanding based on in-situ perception, which can be employed directly for planning and decision making in a variety of complex urban environments and under wide-ranging environmental conditions.

A common, versatile scene representation is the pixel-wise semantic segmentation obtained by de...

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Research group:
Oxford Robotics Institute
Oxford college:
Keble College
Role:
Author
ORCID:
0000-0002-2943-8060

Contributors

Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Research group:
Oxford Robotics Institute
Oxford college:
Keble College
Role:
Supervisor
Division:
MPLS
Department:
Engineering Science
Research group:
Oxford Robotics Institute
Oxford college:
Pembroke College
Role:
Examiner
Institution:
The University of Sydney
Research group:
Australian Centre for Field Robotics
Role:
Examiner
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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