Investigation into accurate location and orientation of IMU for sensor scanning application

The problem of imaging is now been lingering for long. Various methods have been tested and framed for imaging of cracks on metallic and non-metallic surfaces. The methods which are commonly in use are of Machine Vision, Microwave or radar imaging. A new method of imaging using mm-Wave radar has bee...

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Main Author: Prakash, Mudita
Other Authors: [Supervisor not in the list]
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2020
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Online Access:https://hdl.handle.net/10356/137072
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1370722023-07-04T16:43:05Z Investigation into accurate location and orientation of IMU for sensor scanning application Prakash, Mudita [Supervisor not in the list] School of Electrical and Electronic Engineering Muhammad Faeyz Karim faeyz@ntu.edu.sg Engineering::Electrical and electronic engineering The problem of imaging is now been lingering for long. Various methods have been tested and framed for imaging of cracks on metallic and non-metallic surfaces. The methods which are commonly in use are of Machine Vision, Microwave or radar imaging. A new method of imaging using mm-Wave radar has been introduced which uses a frequency range of 76-81 GHz. It is better than previous methods because of higher bandwidth which supports higher data rate thereby giving a better image output. The drawback with mm-Wave imaging is that the sensors present in the market are not well tuned to work with high frequency systems. Therefore, in this work mm-Wave technique has been further fine- tuned using IMU sensors which eliminated the disadvantage of sensor bias and measurement errors. The project work basically focuses on the determination of accurate location and orientation of IMU which can be further used for various sensor scanning applications. It utilizes MPU 9250 interfaced with Arduino Uno to determine the orientation and position of the crack. The position and orientation are determined by taking the combination of the measurements of the readings from the accelerometer, magnetometer and gyroscope of the Inertial Measurement Unit (i.e. MPU9250) with the help of Extended Kalman Filter. The velocity and displacement were derived from the MPU9250 data using trapezoidal integration method. The displacement was combined with the acceleration of the MPU9250 to determine the velocity of it. With the use of high precision sensors and a high-performance micro-controller the efficiency can be further increased. Master of Science (Communications Engineering) 2020-02-19T02:05:57Z 2020-02-19T02:05:57Z 2019 Thesis-Master by Coursework https://hdl.handle.net/10356/137072 en 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
Prakash, Mudita
Investigation into accurate location and orientation of IMU for sensor scanning application
description The problem of imaging is now been lingering for long. Various methods have been tested and framed for imaging of cracks on metallic and non-metallic surfaces. The methods which are commonly in use are of Machine Vision, Microwave or radar imaging. A new method of imaging using mm-Wave radar has been introduced which uses a frequency range of 76-81 GHz. It is better than previous methods because of higher bandwidth which supports higher data rate thereby giving a better image output. The drawback with mm-Wave imaging is that the sensors present in the market are not well tuned to work with high frequency systems. Therefore, in this work mm-Wave technique has been further fine- tuned using IMU sensors which eliminated the disadvantage of sensor bias and measurement errors. The project work basically focuses on the determination of accurate location and orientation of IMU which can be further used for various sensor scanning applications. It utilizes MPU 9250 interfaced with Arduino Uno to determine the orientation and position of the crack. The position and orientation are determined by taking the combination of the measurements of the readings from the accelerometer, magnetometer and gyroscope of the Inertial Measurement Unit (i.e. MPU9250) with the help of Extended Kalman Filter. The velocity and displacement were derived from the MPU9250 data using trapezoidal integration method. The displacement was combined with the acceleration of the MPU9250 to determine the velocity of it. With the use of high precision sensors and a high-performance micro-controller the efficiency can be further increased.
author2 [Supervisor not in the list]
author_facet [Supervisor not in the list]
Prakash, Mudita
format Thesis-Master by Coursework
author Prakash, Mudita
author_sort Prakash, Mudita
title Investigation into accurate location and orientation of IMU for sensor scanning application
title_short Investigation into accurate location and orientation of IMU for sensor scanning application
title_full Investigation into accurate location and orientation of IMU for sensor scanning application
title_fullStr Investigation into accurate location and orientation of IMU for sensor scanning application
title_full_unstemmed Investigation into accurate location and orientation of IMU for sensor scanning application
title_sort investigation into accurate location and orientation of imu for sensor scanning application
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/137072
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