Trajectory optimization methods for drone cameras

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Abstract/Contents

Abstract
Drone cameras are now being deployed in a wide range of applications, including Hollywood filmmaking, search and rescue, wildlife monitoring, and large-scale 3D scanning. However, drones remain difficult to control, both for humans and for computers. In this dissertation, we introduce a variety of trajectory optimization methods that make it easier for people to use drone cameras. We focus specifically on two different applications: drone cinematography and drone 3D scanning. Throughout this dissertation, we leverage domain knowledge that is specialized to each application, and we reformulate classical trajectory optimization problems in terms of the drone camera's visual output, i.e., in terms of what the drone is seeing.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2019; ©2019
Publication date 2019; 2019
Issuance monographic
Language English

Creators/Contributors

Author Roberts, Michael Lindsay
Degree supervisor Hanrahan, P. M. (Patrick Matthew)
Thesis advisor Hanrahan, P. M. (Patrick Matthew)
Thesis advisor Durand, Frédo
Thesis advisor James, Doug L
Degree committee member Durand, Frédo
Degree committee member James, Doug L
Associated with Stanford University, Computer Science Department.

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Michael Lindsay Roberts.
Note Submitted to the Computer Science Department.
Thesis Thesis Ph.D. Stanford University 2019.
Location electronic resource

Access conditions

Copyright
© 2019 by Michael Lindsay Roberts
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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