Self Driving and ROS 2 - Learn by Doing! Perception & Vision

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13 nov 2026, 15:33

Self Driving and ROS 2 - Learn by Doing! Perception & Vision
Last updated 11/2026

Created by Antonio Brandi
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 160 Lectures ( 29h 33m ) | Size: 23 GB
Physical AI with ROS 2: Self-Driving Robot in Python & C++. Master Computer Vision, OpenCV, Visual Odometry & SLAM

What you'll learn

⚡ Create a Real Robot, powered by ROS 2
⚡ Mastering ROS2, the latest version of the Robot Operating System
⚡ Robotics Theory
⚡ Implement Computer Vision algorithms
⚡ Implement Visual Odometry algorithms
⚡ Simulate a Self-Driving robot in Gazebo
⚡ Create 3D Map of the environment using Point Clouds
⚡ Programming Arduino for Robotics Applications
⚡ Master RTAB Map
⚡ Implement Visual SLAM Algorithms

Requirements

❗ Programming Arduino for Robotics Applications
❗ Basic knowledge of Linux
❗ No prior knowledge of ROS or ROS 2 required
❗ No prior knowledge of Robotics theory required
❗ No hardware required. All the course can be followed also using only the PC

Description

Would you like to give yourSelf-Driving Robot the sense of sight? Do you want to build a real robot that sees, understands, and moves through the world usingROS 2, the latest version of the Robot Operating System?
Would you like to step into the world ofPhysical AI and learn the theory and practice of Computer Vision, Stereo Vision, Point Clouds,Visual Odometry, andVisual SLAM from industry experts?
This is the fourth and final course of the Self-Driving and ROS 2 – Learn by Doing! series. Your robot can already move, map, localize, and navigate. Now it is time to teach it to see.
In this course, you will
✨ Understand how a camera forms an image, from the Pinhole Camera model to lenses, distortion, and Camera Calibration
✨ Process images with OpenCV (color spaces, filtering, masks, and contours) and build a Ball Follower robot
✨ Simulate RGB and Stereo Cameras in Gazebo and turn Disparity Images into 3D Point Clouds
✨ Filter Point Clouds with PCL and reconstruct the 3D environment around the robot
✨ Estimate the robot's motion with Visual Odometry, using Feature Detectors (SIFT, FAST, ORB), Epipolar Geometry, and Optical Flow
✨ Run Visual SLAM with RTAB-Map, including Loop Closure with Bag of Words
✨ Master the ROS 2 tools for vision: Image Transport, Quality of Service (QoS), Message Filters, and Components
✨ Build a real robot with a Raspberry Pi and run all the functionalities on hardware
The philosophy of this course is Learn by Doing, and quoting the American writer and teacher Dale Carnegie
Learning is an Active Process. We learn by doing; only knowledge that is used sticks in your mind.
To help you master these concepts and use them in your projects and in your future job, I will guide you through every functionality of ROS 2, both from the theoretical and the practical point of view.
Each section is composed of three parts
✨Theoretical explanation of the concept and functionality
✨ Usage of the concept in a simplePracticalexample
✨ Application of the functionality in areal Robot
There is more!
All the programming lessons are developed in bothPython andC++. You can choose the language you are most familiar with, or become an expertRobotics Software Developer in both! The course supports all ROS 2 distributions, and you can follow it entirely insimulation.
By taking this course, you will gain a deep understanding of robot perception, the foundation of Physical AI, and open up opportunities in the exciting field of robotics and autonomous systems.

Who this course is for

⭐ Self-Driving enthusiast
⭐ Makers and Hobbists keen on robotics
⭐ Software developers who want to learn ROS 2 and Robotics
⭐ Students or Engineers that want to learn how to buid a robot from scratch
⭐ Developers who already know ROS 2 and want to use it in a real-world application
⭐ ROS Developers who want to learn and migrate to ROS 2
⭐ Robotics Engineers who want to develop skills in Autonomous Navigation
⭐ Beginner Python developers curious about Self-Driving
⭐ Beginner C++ developers curious about Self-Driving

Homepage

https://www.udemy.com/course/self-driving-and-ros-2-learn-by-doing-perception-vision

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