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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Bibliographic Details
Main Author: Pan, Yongqi
Other Authors: Tay Wee Peng
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/157549
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Institution: Nanyang Technological University
Language: English
Description
Summary: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.