Build Your own Self Driving Car [Course -2]

Build Your own Self Driving Car [Course -2], available at $19.99, has an average rating of 4.4, with 37 lectures, based on 137 reviews, and has 852 subscribers.

You will learn about Learn How to Setup Raspberry Pi 3 for any IOT Projects 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 This course is ideal for individuals who are College or University student from Electronics/Electrical or Computer Engineering or relevant Diploma or Hobbyist interested in Machine Learning & Image Processing or Anybody Who wants to create Embedded IOT Project It is particularly useful for College or University student from Electronics/Electrical or Computer Engineering or relevant Diploma or Hobbyist interested in Machine Learning & Image Processing or Anybody Who wants to create Embedded IOT Project.

Enroll now: Build Your own Self Driving Car [Course -2]

Summary

Title: Build Your own Self Driving Car [Course -2]

Price: $19.99

Average Rating: 4.4

Number of Lectures: 37

Number of Published Lectures: 37

Number of Curriculum Items: 37

Number of Published Curriculum Objects: 37

Original Price: CA$24.99

Quality Status: approved

Status: Live

What You Will Learn

Learn How to Setup Raspberry Pi 3 for any IOT Projects

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

Who Should Attend

College or University student from Electronics/Electrical or Computer Engineering or relevant Diploma

Hobbyist interested in Machine Learning & Image Processing

Anybody Who wants to create Embedded IOT Project

Target Audiences

College or University student from Electronics/Electrical or Computer Engineering or relevant Diploma

Hobbyist interested in Machine Learning & Image Processing

Anybody Who wants to create Embedded IOT Project

“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 – 2) Contents:

1. Stop Sign Detection (Published)

2. Object Detection (Published)

3. Traffic Light Detection (Published)

4. LED Dynamic Turn Indicator (Published)

(Course – 1)  Previous Course

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

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

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

Course Curriculum

Chapter 1: Introduction to Machine Learning

Lecture 1: Basic Steps & Terminologies

Chapter 2: (Stop Sign) Neural Network Training

Lecture 1: Creating Stop sign

Lecture 2: C++ code to Capture & Save Images

Lecture 3: Capturing Positive Samples for Stop sign

Lecture 4: Capturing Negative Samples

Lecture 5: Cascade Training Software and Image Cropping

Lecture 6: Training of Haar Cascade Model for Stop Sign

Chapter 3: Stop Sign Detection on Raspberry Pi3

Lecture 1: Load (.xml) file in C++ Code

Lecture 2: Writing Image Classifier Program in C++

Lecture 3: Stop Sign Detection Testing

Lecture 4: Create Linear Equations to Calculate Distance

Lecture 5: Solve Linear Equations & Distance Testing

Chapter 4: Stop Sign Detection Testing

Lecture 1: C++ Programming in Raspberry Pi

Lecture 2: C++ Programming in Arduino UNO

Lecture 3: Final Testing (Stop Sign)

Chapter 5: (Obstacle) Neural Network Training

Lecture 1: Positive Sample for Object

Lecture 2: Extracting Positive samples for Object

Lecture 3: Cascade Training for Object Detection

Chapter 6: Obstacle Detection on Raspberry Pi3

Lecture 1: C++ Code to Detect Object

Lecture 2: Create Linear Equations to Calculate Distance (for Object)

Lecture 3: Solve Linear Equations & Distance Testing (for object)

Chapter 7: Obstacle Detection Testing

Lecture 1: Arduino Programming

Lecture 2: Lane Change Operation

Lecture 3: Final Testing (Object)

Chapter 8: Traffic Light Training

Lecture 1: Traffic Light Model

Lecture 2: Positive Sample for Red Light

Lecture 3: Negative Sample for Red Light

Lecture 4: Training Data

Lecture 5: Cascade Model for Red Light

Chapter 9: Traffic Light Detection

Lecture 1: Loading .XML File

Lecture 2: Linear Equations With Calibration

Lecture 3: Finding Actual Distance

Chapter 10: Traffic Light Testing

Lecture 1: Arduino Programming & Final Testing

Chapter 11: LED Dynamic Turn Signal Indicator

Lecture 1: Schematic Diagram

Lecture 2: Clock Circuit Build

Lecture 3: Indicator Circuit Build

Lecture 4: C++ Code to Control the indicators

Instructors

Rajandeep Singh
Embedded System Engineer

Rating Distribution

1 stars: 5 votes

2 stars: 5 votes

3 stars: 12 votes

4 stars: 43 votes

5 stars: 72 votes

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