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Machine Learning
Build Your own Self Driving Car | Deep Learning, OpenCV, C++

Build Your own Self Driving Car | Deep Learning, OpenCV, C++

Loại khoá học: Other IT & Software

Learn Raspberry Pi, Arduino UNO, Image Processing and Neural Networks (Machine Learning) for any Embedded IOT Project

image
50.000 VND
25 VND
Đầy Đủ Bài Giảng
Học Online Tiện Lợi
Kích Hoạt Nhanh 2-5 Phút
Thanh toán tự động
Được phép tải xuống

Tổng quan

Nội dung khoá học

Đánh giá

Mô tả

"Machine Learning will change the lives of all of us. What is Machine Learning? It’s behind what makes self-driving cars a reality"

This unique course is a complete walk-through process to Design, Build and Program a Embedded IOT Project (Self driving Car). Everything is discussed with details and clear explanation. Whole Project is divided into 2 parts.


(Course - 1)

1. Learn to design complete hardware for self driving car

   a. Learn to setup Master device ( Raspberry Pi ) for any project

   b. Learn to setup Slave device ( Arduino UNO ) for any project

  c. Learn to Establish Communication link between Master and Slave device

2. Learn Image Processing using OpenCV4

3. Learn to driver robot on road lanes


(Course - 2)

1. Learn Essentials of Machine Learning

2. Learn to train your own cascade classifier to detect Stop Sign, Traffic Lights and any Object

3. Learn to design LED Dynamic Turn Indicators

4. Create your GitHub Repository


Machine learning is important because it gives enterprises a view of trends in customer behavior and business operational patterns, as well as supports the development of new products. Many of today's leading companies, such as Facebook, Google and Uber, make machine learning a central part of their operations. Machine learning has become a significant competitive differentiator for many companies


Bạn sẽ học được gì

Learn How to Setup Raspberry Pi 3 for any IOT Project

Learn How to Setup Arduino UNO as a Slave micro-controller for any IOT Project

Learn Image Processing using OpenCV4 for any Platform

Learn Machine Learning & Train your own Image Classifier

Learn How to Troubleshoot any Hardware & Software issues

Most Important!! Learn to Design Embedded Product totally from scratch

Yêu cầu

  • Basic Understanding of C or C++
  • Basic Understanding of Digital Logic
  • Basic Understanding of Soldering and Breadboard Prototyping

Nội dung khoá học

11 sections

Introduction

3 lectures
Course Curriculum
03:52
Machine Learning (Must Watch)
00:50
Detailed Working
05:07

Build Hardware for Self Driving Car

3 lectures
Hardware Requirements (Hardware Link is provided in Resource Section)
05:01
Assemble Hardware Parts (Robot Chassis) [ Circuit Diagram in resource section]
10:34
How To Build Track for Testing
05:41

Slave Device Setup (Arduino UNO)

2 lectures
Forward & Backward Functions for Motors
07:44
Left & Right Functions for Motors
07:39

Master Device Setup (Raspberry PI 3 B+)

5 lectures
How to Flash Raspbian OS on Raspberry Pi 3 B+
04:37
Connect Raspberry PI to Personal Computer through Ethernet
08:30
Connect Raspberry PI to Personal Computer through WiFi
03:16
Connect Raspberry PI to Personal Computer through VNC Viewer
08:25
Use My SD Card Backup
11:32

Install OpenCV4 on Raspberry PI 3 B+

7 lectures
Use My SD Card Backup
11:32
Introduction to OpenCV
02:40
Remove Unnecessary Software from Raspberry PI
08:28
Clone OpenCV from GitHub
07:50
Build OpenCV on Raspberry PI with CMake
09:23
Setting Up Libraries in Programming Editor
09:46
Test First Program In Geany Programming Editor
03:40

Camera Setup for Raspberry PI

3 lectures
Install Raspicam & Wiring PI Libraries on Raspberry PI
09:48
Mount Camera on Robot Car Chassis
04:21
Backup of SD Card
02:20

C++ Code to Capture Images & Videos

4 lectures
How to Initialize Camera
07:07
C++ Code to Capture Images
05:35
C++ Code to Capture Video
05:29
calculate FPS (Frames Per Second)
05:00

Image Processing Using OpenCV4 & C++

11 lectures
Convert Image Signature
11:05
Create Region Of Interest
17:27
Perspective Transformation (Bird Eye View)
10:24
Threshold Operations
08:19
Canny Edge Detection
09:42
Troubleshoot Hardware & Software
07:20
How to Find Lanes from Track
08:19
Histogram and Vectors
07:35
Iterators and Pointers
12:09
Calibration
05:52
Final Step
05:44

Master & Slave Device Communication

5 lectures
Raspberry PI Digital Pins
11:08
Wiring Pi Library Fix (download latest command list in resource)
06:36
Slave Device (Arduino Uno) Programming
09:48
Testing
03:28
Smooth Performance Tweek
01:33

Final Testing & Features

3 lectures
Testing on Large Track
02:15
Lane End & UTurn Implementation (Main Device)
10:57
Lane End & UTurn Implementation (Slave Device)
06:50

Last Step (Machine Learning)

1 lectures
BONUS (Course 2)
01:02

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