Vehicular localization using 5G V2X

With rapid advancements in automotive fields, self-driving cars are gradually transferred from labs to roads in our real lives. One key factor for fully automatic driving is the absolute and relative positioning between vehicles, road-side units and pedestrians. Besides, the accurate and real-tim...

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Main Author: Pan, Yongqi
Other Authors: Tay Wee Peng
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
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Online Access:https://hdl.handle.net/10356/157549
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1575492023-07-07T19:17:06Z Vehicular localization using 5G V2X Pan, Yongqi Tay Wee Peng School of Electrical and Electronic Engineering wptay@ntu.edu.sg Engineering::Electrical and electronic engineering With rapid advancements in automotive fields, self-driving cars are gradually transferred from labs to roads in our real lives. One key factor for fully automatic driving is the absolute and relative positioning between vehicles, road-side units and pedestrians. Besides, the accurate and real-time localization of vehicles is a necessary requirement for various vehicle-related services like accident prevention and routing services. Using cellular radio signals transmitted by the devices mounted on the car is a possible method to estimate the position of the vehicle. It has aroused more interest due to its high accuracy in localization which can be used for more services. More recently, the emergence of 5G New Radio (NR) is believed to bring a wider range of localization use cases since the Cellular V2X is standardized by the third-generation partnership project (3GPP). The mmWave signals which belong to 5G NR and have a higher frequency are considered as the future trend in signal communication. This project will discuss on different vehicle positioning methods related to the 5G V2X. Besides, a simulation solution using mmWave signals to complete vehicle positioning will be given. Last, there will be investigations on relevant parameters to see their impact on the positioning accuracy. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-19T12:59:38Z 2022-05-19T12:59:38Z 2022 Final Year Project (FYP) Pan, Y. (2022). Vehicular localization using 5G V2X. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157549 https://hdl.handle.net/10356/157549 en A3250-211 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
Pan, Yongqi
Vehicular localization using 5G V2X
description With rapid advancements in automotive fields, self-driving cars are gradually transferred from labs to roads in our real lives. One key factor for fully automatic driving is the absolute and relative positioning between vehicles, road-side units and pedestrians. Besides, the accurate and real-time localization of vehicles is a necessary requirement for various vehicle-related services like accident prevention and routing services. Using cellular radio signals transmitted by the devices mounted on the car is a possible method to estimate the position of the vehicle. It has aroused more interest due to its high accuracy in localization which can be used for more services. More recently, the emergence of 5G New Radio (NR) is believed to bring a wider range of localization use cases since the Cellular V2X is standardized by the third-generation partnership project (3GPP). The mmWave signals which belong to 5G NR and have a higher frequency are considered as the future trend in signal communication. This project will discuss on different vehicle positioning methods related to the 5G V2X. Besides, a simulation solution using mmWave signals to complete vehicle positioning will be given. Last, there will be investigations on relevant parameters to see their impact on the positioning accuracy.
author2 Tay Wee Peng
author_facet Tay Wee Peng
Pan, Yongqi
format Final Year Project
author Pan, Yongqi
author_sort Pan, Yongqi
title Vehicular localization using 5G V2X
title_short Vehicular localization using 5G V2X
title_full Vehicular localization using 5G V2X
title_fullStr Vehicular localization using 5G V2X
title_full_unstemmed Vehicular localization using 5G V2X
title_sort vehicular localization using 5g v2x
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/157549
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