ROS2 Prius Self Driving Car using AI/Deeplearning and Computer Vision

Table of Contents

1. About This Repository
2. Using this Repository
3. Course Workflow
4. Features
5. Pre-Course Requirments
6. Repository Tree
7. Link to the Course
8. Instructors
9. License

About this Repository

A tesla Like Car in ROS2 will follow lane , Use AI to classify Sign Boards and perform Object tracking to act on the sign boards and set speed respectively

Using this Repository

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Docker:

     

Ubuntu-20.04:

• Follow along the Wiki guide to setup the project.

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Course Workflow

Ros Package

• World Models Creation
• Prius OSRF gazebo Model Editing
• Nodes , Launch Files
• SDF through Gazebo
• Textures and Plugins in SDF

Computer Vision

• Perception Pipeline setup
• Lane Detection with Computer Vision Techniques
• Traffic Light Detection Using Haar Cascades
• Sign and Traffic Light Tracking using Optical Flow
• Rule-Based Control Algorithms

DeepLearning

• Sign Classification using (custom-built) CNN

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Features

• Prius Hybrid Car

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• Satellite Navigation (NEW!)

  • Stage 1: Localiation

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  • Stage 2: Mapping

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  • Stage 3: Path-Planning

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  • Stage 4: Motion-Planning

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• Lane Following

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• Sign Board Detection

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• Traffic Signal Recognition

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• T-Junction Navigation

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• The World

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• Custom Models

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Pre-Course Requirments

Software Based

• Ubuntu 20.04 (LTS)
• ROS2 - Foxy Fitzroy
• Python 3.6
• Opencv 4.2
• Tensorflow 2.14

Skill Based

• Basic ROS2 Nodes Communication
• Launch Files
• Gazebo Model Creation
• Basic OpenCV Usage
• Motivated mind :)

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Repository Tree

Explaining repository structure (i.e important files and their functions).

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Link to the Course

[Discounted Link]

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Instructors

Haider Najeeb (Computer Vision) - Profile Link Muhammad Luqman (ROS Simulation and Control Systems) - Profile Link

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License

Distributed under the GNU-GPL License. See LICENSE for more information.