Car radar feature based road target classification

Wireless technology has exploded in use over the past few years with many new technologies popping up and old technologies gaining new uses. Wireless technology allows us to connect to one another in a way unheard of before for our everyday needs. One of these wireless technologies is Radar (Radi...

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Main Author: Poh, Deon Jing Rui
Other Authors: Tay Wee Peng
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/158906
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1589062023-07-07T19:09:14Z Car radar feature based road target classification Poh, Deon Jing Rui Tay Wee Peng School of Electrical and Electronic Engineering wptay@ntu.edu.sg Engineering::Electrical and electronic engineering Wireless technology has exploded in use over the past few years with many new technologies popping up and old technologies gaining new uses. Wireless technology allows us to connect to one another in a way unheard of before for our everyday needs. One of these wireless technologies is Radar (Radio Distance and Ranging Research into radar initially began in the 1930s as a method of early warning against enemy aircraft approaching. However, in our modern era, radar is no longer used for only aviation purposes. Now, they can be commonly found being used in other applications such as the automotive sector, where radars are commonly found in modern new cars. The aim of this study is to make use of this technology on the road. By gathering data and putting it through a programme and classifying the datapoints into different objects commonly found on the road, additionally the project will also conduct real-world experiments using the ARS 408 radar. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-06-07T07:24:16Z 2022-06-07T07:24:16Z 2022 Final Year Project (FYP) Poh, D. J. R. (2022). Car radar feature based road target classification. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158906 https://hdl.handle.net/10356/158906 en A3249-211 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
Poh, Deon Jing Rui
Car radar feature based road target classification
description Wireless technology has exploded in use over the past few years with many new technologies popping up and old technologies gaining new uses. Wireless technology allows us to connect to one another in a way unheard of before for our everyday needs. One of these wireless technologies is Radar (Radio Distance and Ranging Research into radar initially began in the 1930s as a method of early warning against enemy aircraft approaching. However, in our modern era, radar is no longer used for only aviation purposes. Now, they can be commonly found being used in other applications such as the automotive sector, where radars are commonly found in modern new cars. The aim of this study is to make use of this technology on the road. By gathering data and putting it through a programme and classifying the datapoints into different objects commonly found on the road, additionally the project will also conduct real-world experiments using the ARS 408 radar.
author2 Tay Wee Peng
author_facet Tay Wee Peng
Poh, Deon Jing Rui
format Final Year Project
author Poh, Deon Jing Rui
author_sort Poh, Deon Jing Rui
title Car radar feature based road target classification
title_short Car radar feature based road target classification
title_full Car radar feature based road target classification
title_fullStr Car radar feature based road target classification
title_full_unstemmed Car radar feature based road target classification
title_sort car radar feature based road target classification
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/158906
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