Learn to build ROS2 based Drones Computer Vision Drone

🚀 Learn to build ROS2 based Drones with Computer Vision - Updated! 🚁

Course Headline: Simulate camera sensor for drone precise movement - Dive into the world of drones and computer vision with ROS2 Humble in our updated course!

Course Description:

Course Updated to ROS2 Humble: 🎉 Rating is for OLD version of this course. The New update to projects and way of explaining is what you are going to love! 💖

This updated course offers a comprehensive dive into ROS2 Humble, featuring all-new projects and enhanced explanations that promise to elevate your learning experience. The course is centered around interfacing Hector Drone and its sensors with Python nodes, where you will learn to write algorithms for various drone behaviors within the Gazebo simulation. Throughout the course, you will gain practical experience in drone control using ROS2 C++ nodes, leveraging OpenCV for Python to execute advanced computer vision algorithms in your final project.

🎯 Course Highlights:

• Updated to ROS2 Humble: Enjoy the latest improvements and updates in the ROS2 Humble environment.
• Enhanced Learning Experience: Benefit from new projects and a refined teaching approach.
• Interactive Simulations: Engage with Hector Drone in Gazebo for practical, hands-on learning.
• Advanced Computer Vision: Utilize OpenCV for Python to implement computer vision algorithms.

🚀 Projects:

1. Drone Controlling using ROS2 C++ Nodes: Develop essential skills for drone control by creating and managing ROS2 C++ nodes.
2. Drone Following Ground Vehicles through Computer Vision: Implement computer vision techniques to enable a drone to follow ground vehicles autonomously.
3. Drone Performing Dynamic Go-to-Goal Behavior: Develop and fine-tune algorithms for dynamic navigation, allowing the drone to move efficiently to a designated goal.

🌍 Course Workflow:

1. Introduction to Hector Drone and Sensors: Learn to interface the drone's sensors with Python nodes, setting the foundation for subsequent projects.
2. Computer Vision with OpenCV: Apply OpenCV library functions for advanced computer vision tasks, enhancing your drone's capabilities and performance.

🛠️ Software Requirements:

• Ubuntu 22.04 (Jammy Jellyfish)
• ROS2 Humble Galactic RM (Galactic)

With these tools at your disposal, you'll be ready to embark on a journey through the intricate world of drone programming and computer vision. Join us, and let's build some amazing ROS2 based Drones together! 🛫✨