Exploration of 77 GHZ automotive radar for intelligent transport system (ITS) applications

Exploration of 77 GHZ automotive radar for intelligent transport system (ITS) applications

Automotive radars are a very important safety component in many driver assistance systems today. They could be used in applications such as adaptive cruise control, parking sensors and blind spot monitoring sensors, amongst many others. This report presents a thorough study on the 77 GHz Automotive...

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Main Author: Tan, James Jin Yi
Other Authors: LU Yilong
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Engineering::Electrical and electronic engineering
Online Access:https://hdl.handle.net/10356/148978
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1489782023-07-07T17:26:16Z Exploration of 77 GHZ automotive radar for intelligent transport system (ITS) applications Tan, James Jin Yi LU Yilong School of Electrical and Electronic Engineering EYLU@ntu.edu.sg Engineering::Electrical and electronic engineering Automotive radars are a very important safety component in many driver assistance systems today. They could be used in applications such as adaptive cruise control, parking sensors and blind spot monitoring sensors, amongst many others. This report presents a thorough study on the 77 GHz Automotive Radar for transport applications. The study involves several components, which include a literature review on the 77 GHz automotive radar, radar fundamentals, a simulation of the 77 GHz automotive radar in traffic scenarios and experiments being conducted on two 77 GHz automotive radars, namely including the NXP TEF810X radar and the AWR1642 BOOST radar. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-05-21T12:36:42Z 2021-05-21T12:36:42Z 2021 Final Year Project (FYP) Tan, J. J. Y. (2021). Exploration of 77 GHZ automotive radar for intelligent transport system (ITS) applications. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148978 https://hdl.handle.net/10356/148978 en A3154-201 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Tan, James Jin Yi
Exploration of 77 GHZ automotive radar for intelligent transport system (ITS) applications
description Automotive radars are a very important safety component in many driver assistance systems today. They could be used in applications such as adaptive cruise control, parking sensors and blind spot monitoring sensors, amongst many others. This report presents a thorough study on the 77 GHz Automotive Radar for transport applications. The study involves several components, which include a literature review on the 77 GHz automotive radar, radar fundamentals, a simulation of the 77 GHz automotive radar in traffic scenarios and experiments being conducted on two 77 GHz automotive radars, namely including the NXP TEF810X radar and the AWR1642 BOOST radar.
author2 LU Yilong
author_facet LU Yilong
Tan, James Jin Yi
format Final Year Project
author Tan, James Jin Yi
author_sort Tan, James Jin Yi
title Exploration of 77 GHZ automotive radar for intelligent transport system (ITS) applications
title_short Exploration of 77 GHZ automotive radar for intelligent transport system (ITS) applications
title_full Exploration of 77 GHZ automotive radar for intelligent transport system (ITS) applications
title_fullStr Exploration of 77 GHZ automotive radar for intelligent transport system (ITS) applications
title_full_unstemmed Exploration of 77 GHZ automotive radar for intelligent transport system (ITS) applications
title_sort exploration of 77 ghz automotive radar for intelligent transport system (its) applications
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/148978
_version_ 1772825668433739776

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