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(Using Raspberry Pi) Building an AI Artificial Intelligence Autonomous Driving Car

This is a hands-on course where you'll build an AI-based autonomous driving car using Raspberry Pi and various sensors.

1 learners are taking this course

  • usefulit
자율주행
라즈베리파이
인공지능
딥러닝
Python
Raspberry Pi

What you will learn!

  • Acquiring basic knowledge and application skills for Raspberry Pi and various sensors

  • AI-Based Autonomous Vehicle and Object Recognition Implementation

  • Gaining practical project experience necessary for participating in competitions and contests

(Using Raspberry Pi) Building an AI Artificial Intelligence Autonomous Driving Car

Create your own autonomous driving car with Raspberry Pi!

What if you could build the autonomous vehicles you've only heard about these days with your own hands?
And it would be even more exciting if you could utilize AI deep learning as well, wouldn't it?


This course is a hands-on program where you directly build an AI-based autonomous driving car using Raspberry Pi and various sensors.

From basic Raspberry Pi setup to button, motor, and Bluetooth control, camera-based line tracer, deep learning autonomous driving, and object recognition, you can learn step by step, and gain practical project experience that can be utilized in competitions and embedded contests.

Part of the lecture

Most importantly, you can directly drive and experience the AI autonomous vehicle that you built with your own hands!


🎯 Learning Objectives

  • Acquiring basic knowledge and application skills for Raspberry Pi and various sensors

  • Python basic syntax and simple feature utilization

  • AI-Based Autonomous Vehicle and Object Recognition Implementation

  • Gaining practical project experience necessary for participating in competitions and contests

⚙️ Tools Covered

  • Raspberry Pi

  • Python

  • TensorFlow

📂 Curriculum

Section 1. OS Installation & Basic Setup

  • Raspberry Pi Kit Assembly and OS Installation

  • Basic Setup and LED Control Practice

Section 2. Sensor & Motor Control

  • Button and Buzzer Utilization

  • Motor Control

  • Bluetooth Connection and Basic Control Applications

Section 3. Remote Control & Line Tracer

  • Bluetooth-Based Remote Car Control

  • Implementing Auto-Execution Feature

  • Camera Installation and Video-Based Line Tracer Implementation

Section 4. Deep Learning Autonomous Driving

  • Video Image Preprocessing and Data Collection

  • TensorFlow/Keras-based Autonomous Driving Learning Model Creation

  • Application of Learning Models and Autonomous Driving Testing

Section 5. Deep Learning Object Detection

  • Real-time Object Recognition Implementation

  • Autonomous Vehicle Application and Emergency Stop Function Implementation

✅ Checklist

  • This course does not provide instructor Q&A.

  • Lecture materials and lesson plans can be downloaded from [Class Materials] in the first lesson of each section.

  • The Raspberry Pi kit requires separate purchase. (Kit components: Raspberry Pi, sensors, motors, etc.)

Recommended for
these people

Who is this course right for?

  • Anyone interested in Raspberry Pi and sensors

  • Anyone who wants to create works using AI and embedded technology

  • People interested in AI autonomous driving, embedded systems, and competition/contest preparation

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Reviews

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Curriculum

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38 lectures ∙ (19hr 31min)

Course Materials:

Lecture resources
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$102.30

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