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Thesis

Next best view planning with an unstructured representation

Abstract:

High-quality observations of the real world are crucial for creating realistic scene imitations and performing structural analysis. Observations can be used to produce 3D printed replicas of small-scale scenes (e.g., a toy bunny), conduct inspections of large-scale infrastructure (e.g., a building) or integrated into virtual environments that provide immersive experiences for our entertainment and training robotic systems.

Scenes are observed by obtaining point measurements using a...

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Engineering Science
Research group:
Oxford Robotics Institute
Oxford college:
Lincoln College
Role:
Author
ORCID:
https://orcid.org/0000-0002-1983-9776

Contributors

Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Engineering Science
Research group:
Oxford Robotics Institute
Oxford college:
St Peter's College
Role:
Supervisor
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Engineering Science
Research group:
Oxford Robotics Institute
Oxford college:
Keble College
Role:
Supervisor
Institution:
KTH Royal Institute of Technology
Role:
Examiner
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Engineering Science
Research group:
Oxford Robotics Institute
Oxford college:
Pembroke College
Role:
Examiner
More from this funder
Name:
Engineering and Physical Sciences Research Council
Funding agency for:
Border, RJ
Grant:
EP/L015897/1
Programme:
CDT in Autonomous Intelligent Machines and Systems
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
Language:
English
Keywords:
Subjects:
Deposit date:
2020-09-15

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