Self-driving Raspberry Pi Car

The current course EE2073 Introduction to EEE Design and Project is a digital control system for the Automatic Volume Control of Audio Amplifier System. In order to equip students with the knowledge and hands-on experiences that adapt to the industry trends, an update to this course is needed. A sel...

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Bibliographic Details
Main Author: Feng, Tian
Other Authors: Liu Linbo
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/139997
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author Feng, Tian
author2 Liu Linbo
author_facet Liu Linbo
Feng, Tian
author_sort Feng, Tian
collection NTU
description The current course EE2073 Introduction to EEE Design and Project is a digital control system for the Automatic Volume Control of Audio Amplifier System. In order to equip students with the knowledge and hands-on experiences that adapt to the industry trends, an update to this course is needed. A self-driving Raspberry Pi Car makes use of a small single-board computer powered by a Linux system - Raspbian. It is assembled with motors, a motor driver, power supplies, and a camera. It runs python code and will be trained on a well-designed circuit with the help of TensorFlow, it analysis the images captured by cam to determine the direction and speed of itself.
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spelling ntu-10356/1399972023-07-07T18:36:50Z Self-driving Raspberry Pi Car Feng, Tian Liu Linbo SHUM Ping School of Electrical and Electronic Engineering LIULINBO@ntu.edu.sg, EPShum@ntu.edu.sg Engineering::Electrical and electronic engineering The current course EE2073 Introduction to EEE Design and Project is a digital control system for the Automatic Volume Control of Audio Amplifier System. In order to equip students with the knowledge and hands-on experiences that adapt to the industry trends, an update to this course is needed. A self-driving Raspberry Pi Car makes use of a small single-board computer powered by a Linux system - Raspbian. It is assembled with motors, a motor driver, power supplies, and a camera. It runs python code and will be trained on a well-designed circuit with the help of TensorFlow, it analysis the images captured by cam to determine the direction and speed of itself. Bachelor of Engineering (Electrical and Electronic Engineering) 2020-05-26T03:23:28Z 2020-05-26T03:23:28Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/139997 en A1108-191 application/pdf Nanyang Technological University
spellingShingle Engineering::Electrical and electronic engineering
Feng, Tian
Self-driving Raspberry Pi Car
title Self-driving Raspberry Pi Car
title_full Self-driving Raspberry Pi Car
title_fullStr Self-driving Raspberry Pi Car
title_full_unstemmed Self-driving Raspberry Pi Car
title_short Self-driving Raspberry Pi Car
title_sort self driving raspberry pi car
topic Engineering::Electrical and electronic engineering
url https://hdl.handle.net/10356/139997
work_keys_str_mv AT fengtian selfdrivingraspberrypicar