About This Course
Skills you'll learn from this course
- done_all Driverless Cars Benefits & Challenges
- done_all Driverless Cars Autonomy Levels
- done_all Introduction to Machine Learning Basic Principles
- done_all Introduction to SVM and Neural Network Models
- done_all Computer Vision for Human Detection and Tracking on Driverless Cars
During Course "Human Tracking with Driverless Cars", which continues the driverless cars topic introduced in Course "Build a Lane Following Driverless Car", students will be able to study how to harness the power of Machine Learning and Computer Vision to make their wheeled robot capable of detecting humans in front of it and following them. Students will firstly continue to study driverless cars and challenges that they face on the way to full autonomy, while getting introduced to Machine Learning and how it assists with modern applications, especially for human detection. Then, Python commands and functions of OpenCV and our Machine Learning framework are taught, so that the students become familiar with some processes that are used for this course's challenge. Finally, students are presented with the challenge of using our Machine Learning framework to visually detect humans in front of the wheeled robot and follow it.
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Course Features
- check_circle Programming Environment
- check_circle Jupyter Notebook
- check_circle Forum & Support
Course Chapters
Course Introduction
Car Autonomy Challenges
Course Objectives
Session 1: Theoretical Principles
Session Objectives
Driverless Car Benefits
Technical Challenges
Human Challenges
Other Challenges
Driving Automation Levels
Mini challenge
Machine Learning Basics
ML and Deep Learning
Driverless Car Vision
Human Detection
Human Detection with CV
Mini-challenge
Session Summary
Session 2: Hardware Assembly
Session 3: Programming
Session Objectives
Robot Management
WorkSpace Setup
Lane Detection Review
Python Classes
Mini Challenge
CV with ML
Mini Challenge
Human Tracking
Session Summary
Session 4: Challenge
Challenge Introduction
Challenge Time
Submit Your Code
Upload Your Video
Course Completion