Autonomous manoeuvring of personal mobility devices (PMD)

Autonomous manoeuvring of Personal Mobility Devices (PMD) is a desirable feature similar to that of autonomous vehicles where its benefits may include more free time and increase in safety for the rider and pedestrians. In this project, the aim is to build an autonomous manoeuvring system for the pr...

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Main Author: Lee, Jie Han
Other Authors: Yvonne Lam Ying Hung
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/78226
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-78226
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spelling sg-ntu-dr.10356-782262023-07-07T16:27:40Z Autonomous manoeuvring of personal mobility devices (PMD) Lee, Jie Han Yvonne Lam Ying Hung School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Autonomous manoeuvring of Personal Mobility Devices (PMD) is a desirable feature similar to that of autonomous vehicles where its benefits may include more free time and increase in safety for the rider and pedestrians. In this project, the aim is to build an autonomous manoeuvring system for the prototype of PMD using camera as the source information. This project will be built primarily on a Raspberry Pi computer, camera and ultrasonic sensor. By performing different functions on the camera’s input, a stimulated path would be detected and hence provides critical information as to control the prototype’s motor to move along the desired path. The various versions of the prototype’s manoeuvring system will be listed and evaluated to establish the best one that strikes a balance between the performance and cost. In addition, incorporating the path detection algorithm together with the obstacle detection using ultrasonic sensor allows for a more complete yet simple autonomous manoeuvring system. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-13T07:55:04Z 2019-06-13T07:55:04Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/78226 en Nanyang Technological University 109 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Lee, Jie Han
Autonomous manoeuvring of personal mobility devices (PMD)
description Autonomous manoeuvring of Personal Mobility Devices (PMD) is a desirable feature similar to that of autonomous vehicles where its benefits may include more free time and increase in safety for the rider and pedestrians. In this project, the aim is to build an autonomous manoeuvring system for the prototype of PMD using camera as the source information. This project will be built primarily on a Raspberry Pi computer, camera and ultrasonic sensor. By performing different functions on the camera’s input, a stimulated path would be detected and hence provides critical information as to control the prototype’s motor to move along the desired path. The various versions of the prototype’s manoeuvring system will be listed and evaluated to establish the best one that strikes a balance between the performance and cost. In addition, incorporating the path detection algorithm together with the obstacle detection using ultrasonic sensor allows for a more complete yet simple autonomous manoeuvring system.
author2 Yvonne Lam Ying Hung
author_facet Yvonne Lam Ying Hung
Lee, Jie Han
format Final Year Project
author Lee, Jie Han
author_sort Lee, Jie Han
title Autonomous manoeuvring of personal mobility devices (PMD)
title_short Autonomous manoeuvring of personal mobility devices (PMD)
title_full Autonomous manoeuvring of personal mobility devices (PMD)
title_fullStr Autonomous manoeuvring of personal mobility devices (PMD)
title_full_unstemmed Autonomous manoeuvring of personal mobility devices (PMD)
title_sort autonomous manoeuvring of personal mobility devices (pmd)
publishDate 2019
url http://hdl.handle.net/10356/78226
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