Đồ án tốt nghiệp - Research and simulate speed sign recognition system in Self-Driving car

HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY AND EDUCATION
FACULTY FOR HIGH QUALITY TRAINING

BACHELOR THESIS
RESEARCH AND SIMULATE SPEED SIGN RECOGNITION SYSTEM
IN SELF-DRIVING CAR
NGUYEN ANH HUY
Student ID: 18146022
Major: MECHATRONICS ENGINEERING
Advisor: Ph.D. VU QUANG HUY

Ho Chi Minh City, Jan 2024

THE SOCIALIST REPUBLIC OF VIETNAM
Independence – Freedom– Happiness

-Ho Chi Minh City, Day…….Month…….,Year…….

GRADUATION PROJECT ASSIGNMENT
Student name:

Nguyen Anh Huy

Student ID:

18146022

Student name:

Student ID:

Student name:

Student ID:

Major: Mechatronics Engineering

Class:

Advisor: Ph.D. Vu Quang Huy

Phone number:

18146CLA

Date of assignment: _____________________ Date of submission: _____________
1. Project title: Research and simulate speed sign recognition system in self-driving car.
2. Initial materials provided by the advisor: ___________________________________
3. Content of the project: _________________________________________________
4. Final product: ________________________________________________________
CHAIR OF THE PROGRAM
(Sign with full name)

ADVISOR
(Sign with full name)

1

THE SOCIALIST REPUBLIC OF VIETNAM
Independence – Freedom– Happiness

-Ho Chi Minh City, Day…….Month…….,Year…….

ADVISOR’S EVALUATION SHEET
Student name:

Nguyen Anh Huy

Student ID:

Student name:

Student ID:

Student name:

Student ID:

18146022

Major: Mechatronics Engineering
Project title: Research and simulate speed sign recognition system in self-driving car.

Advisor: Ph.D. Vu Quang Huy
EVALUATION
1. Content of the project:
.................................................................................................................................................
.................................................................................................................................................
.................................................................................................................................................
2. Strengths:
.................................................................................................................................................
.................................................................................................................................................
.................................................................................................................................................
3. Wea
...

...
rs can easily observe and extract data for ease of analysis
and development.

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REFERENCES
Book

1. Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron
Courville - Link: Deep Learning (deeplearningbook.org)
2. Computer Vision: Algorithms and Applications by Richard Szeliski
3. Hands-On Machine Learning with Scikit-Learn, Keras, and
TensorFlow by Aurélien Géron - Link: Hands-On Machine Learning with
Scikit-Learn, Keras, and TensorFlow, 2nd Edition [Book] (oreilly.com)

4. Pattern Recognition and Machine Learning by Christopher M.
Bishop
5. Python for Data Analysis by Wes McKinney - Link: Python for Data
Analysis, 2nd Edition [Book] (oreilly.com)

6. Data Science for Business by Foster Provost and Tom Fawcett
7. Building the Internet of Things by Maciej Kranz
8. Designing Connected Products by Claire Rowland, Elizabeth
Goodman, Martin Charlier, Ann Light - Link:
oreilly.com/library/view/designing-connected-products/9781449372712/

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Website
[1]

Python (programming language) - Wiki English (en.wikipedia.org)

[2]

“ESP8266” ESP8266 - Wikipedia

[3]

“HTML&ampCSS – W3C” Available: HTML &amp CSS - W3C

[4]

MP2307 MINI 360 Available: https://www.matts-electronics.com/wp-

content/uploads/2018/06/MINI-360.pdf
[5]

“5MP OV5647 Standard Camera Modules” Available:

https://www.arducam.com/product/arducam-ov5647-standard-raspberry-picamera-b0033/
[6]

NODEMCU_DEVKIT_V1.0.pdf Available: File:NODEMCU DEVKIT V1.0.PDF -

ElectroDragon Wiki
[7]

https://www.mouser.com/pdfdocs/Gravitech_Arduino_Nano3_0.pdf

[8]

https://datasheetspdf.com/pdf/1260347/GME/S8050/1

[9]

“OTA connection” Available: ESP8266 OTA (Over-the-Air) s -

AsyncElegantOTA Arduino | Random Nerd Tutorials
[10]

“Moblie app và Web app” Available: Mobile App và Web App: Đâu là

option tối ưu cho bạn? - THCmedia
[11]

“Android Developers” Available: Android Mobile App Developer Tools –

Android Developers
[12]

“ThinkSpeak” Available: Thingspeak là gì (iottuonglai.com)

[13]

“MySQL” Available: MySQL

[14]

“Firebase” Available: Firebase là gì? Giải pháp lập trình không cần Backend từ

Google (matbao.net)

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APPENDIX
1. Raspberry Pi 4 schematic

Appendix 1. ESP-12 core ver1.0

i

2. ESP8266 Node MCU V1.0

Appendix 2. ESP-12 core ver1.0

ii

Appendix 3. ESP8266 Node MCU power schematic

Appendix 4. ESP Key schematic

iii

Appendix 5. ESP8266 IO connection, ADC and USB to UART schematics

iv

3. Arduino Nano

Appendix 6. Arduino Nano schematic

v