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Smart transportation

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thesis
posted on 28.03.2022, 14:09 authored by Ryan Safour
The National Instruments Autonomous Robotics Competition is a challenging experience where students are pushed to the limit to create an autonomous vehicle that performs various tasks. We used National Instruments state of the art technology and software, myRIO and LabVIEW. Challenges faced are localisation, path planning and obstacle avoidance, all while trying to complete the tasks at hand. Our design utilises techniques using a mecanum drive system, quadrature encoders and ultrasonic sensors in order to successfully navigate a changing environment accurately. The purpose of my thesis is to be a guide and mentor for future NIARC teams to give them an insight of what to expect and problems they may face. Our research will also serve those looking to find a simple way to successfully navigate a changing environment.

History

Table of Contents

1. Introduction -- 2. Literature review and background -- 3. Strategy and techniques to navigate environment -- 4. LabVIEW architecture -- 5. Conclusion -- Bibliography.

Notes

Empirical thesis. Bibliography: pages 29-30

Awarding Institution

Macquarie University

Degree Type

Thesis bachelor honours

Degree

BSc (Hons), Macquarie University, Faculty of Science and Engineering, School of Engineering

Department, Centre or School

School of Engineering

Year of Award

2017

Principal Supervisor

David Inglis

Rights

Copyright Ryan Safour 2017. Copyright disclaimer: http://mq.edu.au/library/copyright

Language

English

Extent

1 online resource (xiii, 30 pages colour illustrations)

Former Identifiers

mq:70422 http://hdl.handle.net/1959.14/1263599

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