Visual space navigation system for CubeSat using deep convolutional neural networks

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URL

Journal Title

Journal ISSN

Volume Title

Sähkötekniikan korkeakoulu | Master's thesis

Authors

Date

2018-08-20

Department

Major/Subject

Space Robotics and Automation

Mcode

ELEC3047

Degree programme

Joint European Master in Space Science and Technology

Language

en

Pages

59+8

Series

Description

Supervisor

Kallio, Esa

Thesis advisor

Kestilä, Antti

Keywords

convolutional neural network, machine learning, CubeSat, visual navigation

Other note

Citation

Permanent link to this item

https://urn.fi/URN:NBN:fi:aalto-201809034912

Collections

[dipl] Sähkötekniikan korkeakoulu / ELEC