Night vison with unmanned surface vehicle (USV)
For this Final Year Project (FYP), the report focusses on three parts for the research, Unmanned Surface Vessels (USV) navigational and collision avoidance system, night vision and Lidar Technology. The project will be incorporate the use of a Lidar Sensor, which hardware programming, and coding...
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Format: | Final Year Project (FYP) |
Language: | English |
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Nanyang Technological University
2022
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Online Access: | https://hdl.handle.net/10356/157578 |
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author | Chew, Marcus Wen Long |
author2 | Mao Kezhi |
author_facet | Mao Kezhi Chew, Marcus Wen Long |
author_sort | Chew, Marcus Wen Long |
collection | NTU |
description | For this Final Year Project (FYP), the report focusses on three parts for the research,
Unmanned Surface Vessels (USV) navigational and collision avoidance system, night vision
and Lidar Technology. The project will be incorporate the use of a Lidar Sensor, which
hardware programming, and coding will be involved. The Lidar Sensor that is programmed
will be used to conduct several experiment setups, to test the Lidar Sensor for its night vision
capabilities and performance. Parameter data will be retrieved from the Lidar Sensor and
evaluated. |
first_indexed | 2024-10-01T07:25:44Z |
format | Final Year Project (FYP) |
id | ntu-10356/157578 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T07:25:44Z |
publishDate | 2022 |
publisher | Nanyang Technological University |
record_format | dspace |
spelling | ntu-10356/1575782023-07-07T19:29:39Z Night vison with unmanned surface vehicle (USV) Chew, Marcus Wen Long Mao Kezhi Wang Han School of Electrical and Electronic Engineering HW@ntu.edu.sg, EKZMao@ntu.edu.sg Engineering::Electrical and electronic engineering::Computer hardware, software and systems For this Final Year Project (FYP), the report focusses on three parts for the research, Unmanned Surface Vessels (USV) navigational and collision avoidance system, night vision and Lidar Technology. The project will be incorporate the use of a Lidar Sensor, which hardware programming, and coding will be involved. The Lidar Sensor that is programmed will be used to conduct several experiment setups, to test the Lidar Sensor for its night vision capabilities and performance. Parameter data will be retrieved from the Lidar Sensor and evaluated. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-21T04:34:55Z 2022-05-21T04:34:55Z 2022 Final Year Project (FYP) Chew, M. W. L. (2022). Night vison with unmanned surface vehicle (USV). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157578 https://hdl.handle.net/10356/157578 en A1146-211 application/pdf Nanyang Technological University |
spellingShingle | Engineering::Electrical and electronic engineering::Computer hardware, software and systems Chew, Marcus Wen Long Night vison with unmanned surface vehicle (USV) |
title | Night vison with unmanned surface vehicle (USV) |
title_full | Night vison with unmanned surface vehicle (USV) |
title_fullStr | Night vison with unmanned surface vehicle (USV) |
title_full_unstemmed | Night vison with unmanned surface vehicle (USV) |
title_short | Night vison with unmanned surface vehicle (USV) |
title_sort | night vison with unmanned surface vehicle usv |
topic | Engineering::Electrical and electronic engineering::Computer hardware, software and systems |
url | https://hdl.handle.net/10356/157578 |
work_keys_str_mv | AT chewmarcuswenlong nightvisonwithunmannedsurfacevehicleusv |