What you'll learn:
- Self Driving,
- Lane Tracking,
- I2C Communication,
- Contours,
- Edge Detection,
- GPIO,
- L298n and PCA9685
Welcome to the course on developing an autonomous vehicle using Jetson Nano! This course will guide you step-by-step on how to build your own self-driving car using Jetson Nano. Starting from the basics, you will acquire the necessary hardware and software knowledge, and then reinforce these skills through practical projects.
Course Content:
Introduction to Jetson Nano setup and key features
Overview and installation of essential hardware components (Webcam, L298n motor driver, PCA9685 PWM driver)
Image processing techniques with Python and OpenCV
Developing contour-based lane detection algorithms
Lane tracking and vehicle control
Materials Used:
Webcam: For capturing image data
L298n: For driving motors
PCA9685: For generating PWM signals
Jetson Nano: For performing AI and image processing tasks
Course Objectives:
Learn how to effectively use the Jetson Nano platform
Develop lane detection algorithms using image processing techniques
Correctly connect and program hardware components
Achieve autonomous vehicle control through lane tracking
By the end of this course, you will have the skills to develop your own autonomous vehicle and advance your knowledge in this exciting field. Whether you are pursuing it as a hobby or aiming for a professional career, this course will provide you with a solid foundation.
Join us and take a step into the future of technology!
No previous programming or electronics knowledge is required.
"You are never too old to set another goal or to dream a new dream." - C.S.Lewis
"Do the difficult things while they are easy and do the great things while they are small. A journey of a thousand miles begins with a single step" - Lao Tzu
You get the best information that I have compiled over years of trial and error and experience!
Best wishes,
Yılmaz ALACA
