DEEP LEARNING MODEL OF MASKING VISION BASED AUTONOMOUS NAVIGATION FOR DRONES
Widely known as drone, an unmanned aerial vehicle (UAV), has been around for years and still gaining massive attention as a way of boosting the growth of artificial intelligence applications. The recent technological advancements have made significant breakthroughs in the area of deep learning, c...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | http://utpedia.utp.edu.my/id/eprint/20494/1/Alvin%20Lee%20Wai%20Chung_17006864.pdf http://utpedia.utp.edu.my/id/eprint/20494/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
oai:utpedia.utp.edu.my:20494 |
---|---|
record_format |
eprints |
spelling |
oai:utpedia.utp.edu.my:204942024-07-25T06:51:31Z http://utpedia.utp.edu.my/id/eprint/20494/ DEEP LEARNING MODEL OF MASKING VISION BASED AUTONOMOUS NAVIGATION FOR DRONES LEE WAI, ALVIN CHUNG T Technology (General) Widely known as drone, an unmanned aerial vehicle (UAV), has been around for years and still gaining massive attention as a way of boosting the growth of artificial intelligence applications. The recent technological advancements have made significant breakthroughs in the area of deep learning, computer vision and UAV, which consequently expanding drone applications beyond the battlefield. This can be seen in the recent roles of drone to perform complex tasks such as environmental and natural disaster monitoring, border surveillance, emergency assistance, search and rescue missions and relay communications. Autonomous drone navigation becomes challenging due to the unstable and weak GPS signals coverage. 2020-10 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/id/eprint/20494/1/Alvin%20Lee%20Wai%20Chung_17006864.pdf LEE WAI, ALVIN CHUNG (2020) DEEP LEARNING MODEL OF MASKING VISION BASED AUTONOMOUS NAVIGATION FOR DRONES. Masters thesis, Universiti Teknologi PETRONAS. |
institution |
Universiti Teknologi Petronas |
building |
UTP Resource Centre |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Petronas |
content_source |
UTP Electronic and Digitized Intellectual Asset |
url_provider |
http://utpedia.utp.edu.my/ |
language |
English |
topic |
T Technology (General) |
spellingShingle |
T Technology (General) LEE WAI, ALVIN CHUNG DEEP LEARNING MODEL OF MASKING VISION BASED AUTONOMOUS NAVIGATION FOR DRONES |
description |
Widely known as drone, an unmanned aerial vehicle (UAV), has been around for years
and still gaining massive attention as a way of boosting the growth of artificial
intelligence applications. The recent technological advancements have made
significant breakthroughs in the area of deep learning, computer vision and UAV,
which consequently expanding drone applications beyond the battlefield. This can be
seen in the recent roles of drone to perform complex tasks such as environmental and
natural disaster monitoring, border surveillance, emergency assistance, search and
rescue missions and relay communications. Autonomous drone navigation becomes
challenging due to the unstable and weak GPS signals coverage. |
format |
Thesis |
author |
LEE WAI, ALVIN CHUNG |
author_facet |
LEE WAI, ALVIN CHUNG |
author_sort |
LEE WAI, ALVIN CHUNG |
title |
DEEP LEARNING MODEL OF MASKING VISION BASED AUTONOMOUS
NAVIGATION FOR DRONES |
title_short |
DEEP LEARNING MODEL OF MASKING VISION BASED AUTONOMOUS
NAVIGATION FOR DRONES |
title_full |
DEEP LEARNING MODEL OF MASKING VISION BASED AUTONOMOUS
NAVIGATION FOR DRONES |
title_fullStr |
DEEP LEARNING MODEL OF MASKING VISION BASED AUTONOMOUS
NAVIGATION FOR DRONES |
title_full_unstemmed |
DEEP LEARNING MODEL OF MASKING VISION BASED AUTONOMOUS
NAVIGATION FOR DRONES |
title_sort |
deep learning model of masking vision based autonomous
navigation for drones |
publishDate |
2020 |
url |
http://utpedia.utp.edu.my/id/eprint/20494/1/Alvin%20Lee%20Wai%20Chung_17006864.pdf http://utpedia.utp.edu.my/id/eprint/20494/ |
_version_ |
1805891010417393664 |
score |
13.211869 |