
AutoCAD 2022 2D Basics
usefulit
In this course, you will learn how to use basic commands for 2D drawings in AutoCAD 2022.
입문
CAD, AutoCAD
This is a hands-on course where you'll build an AI-based autonomous driving car using Raspberry Pi and various sensors.
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
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!
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
Raspberry Pi
Python
TensorFlow
Raspberry Pi Kit Assembly and OS Installation
Basic Setup and LED Control Practice
Button and Buzzer Utilization
Motor Control
Bluetooth Connection and Basic Control Applications
Bluetooth-Based Remote Car Control
Implementing Auto-Execution Feature
Camera Installation and Video-Based Line Tracer Implementation
Video Image Preprocessing and Data Collection
TensorFlow/Keras-based Autonomous Driving Learning Model Creation
Application of Learning Models and Autonomous Driving Testing
Real-time Object Recognition Implementation
Autonomous Vehicle Application and Emergency Stop Function Implementation
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.)
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
All
38 lectures ∙ (19hr 31min)
Course Materials:
9. Button (1)
16:27
10. Button (2)
34:34
11. Buzzer
30:02
12. Motor (1)
36:35
13. Motor (2)
24:13
14. Bluetooth (1)
37:15
15. Bluetooth (2)
20:27
Limited time deal
$72.60
29%
$102.30
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