noshluk2/ROS2-Self-Driving-Car-AI-using-OpenCV
ROS2 Self Driving Car using Deeplearning and Object Tracking through openCV
This project provides a comprehensive framework for developing and testing self-driving car capabilities within a simulated environment. It takes in simulated camera feeds and sensor data, processes them using AI and computer vision techniques, and outputs control commands for a virtual car to follow lanes, recognize traffic signs, and navigate complex scenarios. It's designed for robotics engineers, AI researchers, and students interested in autonomous vehicle development.
212 stars. No commits in the last 6 months.
Use this if you are developing or learning about self-driving car algorithms and need a complete simulation environment to test lane following, traffic sign recognition, and navigation.
Not ideal if you are looking for a plug-and-play solution for a physical autonomous vehicle or a system for real-world deployment without significant adaptation.
Stars
212
Forks
64
Language
Python
License
MIT
Category
Last pushed
Jul 10, 2024
Commits (30d)
0
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