Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/149821
Title: Night vision with unmanned surface vehicle (USV)
Authors: Ang, Claryl Hui Ern
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2021
Publisher: Nanyang Technological University
Source: Ang, C. H. E. (2021). Night vision with unmanned surface vehicle (USV). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149821
Project: A1151-201
Abstract: Night vision technologies are implemented in Unmanned Surface Vehicles (USV) mainly for detection, recognition identification. Night vision technologies are Image Intensification, Active Illumination and Thermal Imaging. In this Final Year Project (FYP), this report focuses on my research on types of cameras that accept low lighting conditions. Besides that, this research also involves sourcing code on a deep learning method for transferring night-time images to daytime images. Besides that, this research also includes object detection algorithms. The source code for transferring night-time to daytime images uses ToDayGan, a deep learning method. The types of object detection algorithms are Histogram of oriented gradients(HOG), Convolutional Neural Networks (CNNs) and You Only Look Once (YOLO).
URI: https://hdl.handle.net/10356/149821
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP report_ClarylAngHuiErn.pdf
  Restricted Access
1.58 MBAdobe PDFView/Open

Page view(s)

113
Updated on May 17, 2022

Download(s)

12
Updated on May 17, 2022

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.