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...

Full description

Bibliographic Details
Main Author: Chew, Marcus Wen Long
Other Authors: Mao Kezhi
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/157578
_version_ 1826128486536839168
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