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05/29/2022 08:56 AM

Human Tracking with Driverless Cars

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(224 ratings)
  • access_time 4 hours
  • trending_up Intermediate
  • label Wheeled Robot

This course comes with a certification

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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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Human Tracking with Driverless Cars Certificate

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
    Requirements
    Course “Object Collection with Wheeled Robots” is a prerequisite for this course.

    Hardware (Optional):
    For this course you can use the Wheely Robot Kit If you are using hardware, you will need:
    • Wheeled Robot used in Course “Object Collection with Wheeled Robots”

    Get Certified

    Human Tracking with Driverless Cars Certificate

    Courses Contributor

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    Robociti Team

    Course Reviews

    Robociti is recommended by students and professionals

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    Robociti is the go-to platform to learn robotics from scratch. Its teaching methodology equips you with knowledge that is relevant, with lesson progressions that build foundation upon foundation.

    Jeffrey - Engineering Student

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    Finally a platform for the community of RoboGeeks, where one does not only have the opportunity to acquire the know-how of robotics, but can also meet and connect with others who share the same interest!

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    Adrian - Robotics Student

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    Very easy to understand. The slides and quizzes make this course easy and interesting.

    Dylan - Student

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    I love this course. It is great. I am a beginner and so far I understand it.

    Kumar - Hobbyist

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    Course Discussions

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