Application of Fourier plane imaging to LIDAR technologies
The push to automate our daily lives has introduced an exponential increase in the development of new and old technologies to help us achieve these goals. One of these technologies, 3D imaging, has been rapidly evolving to allow automation hardware today to be able to sense their surrounding environ...
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2023
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sg-ntu-dr.10356-1676822023-07-07T15:54:31Z Application of Fourier plane imaging to LIDAR technologies Dinesh s/o Kannan Nam Donguk School of Electrical and Electronic Engineering dnam@ntu.edu.sg Engineering::Electrical and electronic engineering The push to automate our daily lives has introduced an exponential increase in the development of new and old technologies to help us achieve these goals. One of these technologies, 3D imaging, has been rapidly evolving to allow automation hardware today to be able to sense their surrounding environments more precisely, and quickly. The emergence of Light Detection and Ranging (LIDAR) as a 3D technology in many of our everyday objects, including but not limited to, drones, self-driving cars, household appliances, advanced medical and industrial technologies require us to formulate a testing method for up-and-coming systems today. Some of todays’ LIDAR architectures and systems are presented, and our focus on the frequency-modulated continuous wave (FMCW) LIDAR system is our focus for this report. By using Fourier Plane Imaging techniques, we enable the reconstruction of high-resolution images of certain photonic structures for the analysis of the sample’s efficiency and angled information, which allows us to read into the effectiveness of future LIDAR systems which employ the use of quantum photonics. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-05-30T05:07:59Z 2023-05-30T05:07:59Z 2023 Final Year Project (FYP) Dinesh s/o Kannan (2023). Application of Fourier plane imaging to LIDAR technologies. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167682 https://hdl.handle.net/10356/167682 en A2188-221 application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering Dinesh s/o Kannan Application of Fourier plane imaging to LIDAR technologies |
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The push to automate our daily lives has introduced an exponential increase in the development of new and old technologies to help us achieve these goals. One of these technologies, 3D imaging, has been rapidly evolving to allow automation hardware today to be able to sense their surrounding environments more precisely, and quickly. The emergence of Light Detection and Ranging (LIDAR) as a 3D technology in many of our everyday objects, including but not limited to, drones, self-driving cars, household appliances, advanced medical and industrial technologies require us to formulate a testing method for up-and-coming systems today. Some of todays’ LIDAR architectures and systems are presented, and our focus on the frequency-modulated continuous wave (FMCW) LIDAR system is our focus for this report. By using Fourier Plane Imaging techniques, we enable the reconstruction of high-resolution images of certain photonic structures for the analysis of the sample’s efficiency and angled information, which allows us to read into the effectiveness of future LIDAR systems which employ the use of quantum photonics. |
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Nam Donguk |
author_facet |
Nam Donguk Dinesh s/o Kannan |
format |
Final Year Project |
author |
Dinesh s/o Kannan |
author_sort |
Dinesh s/o Kannan |
title |
Application of Fourier plane imaging to LIDAR technologies |
title_short |
Application of Fourier plane imaging to LIDAR technologies |
title_full |
Application of Fourier plane imaging to LIDAR technologies |
title_fullStr |
Application of Fourier plane imaging to LIDAR technologies |
title_full_unstemmed |
Application of Fourier plane imaging to LIDAR technologies |
title_sort |
application of fourier plane imaging to lidar technologies |
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Nanyang Technological University |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/167682 |
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1772827346616713216 |