Udacity's Self Driving Car Engineer Course
An open-source project for developing autonomous vehicle software with datasets, models, and ROS components.
What is Udacity's Self Driving Car Engineer Course?
Udacity Self-Driving Car is an open-source project that provides tools, datasets, and models for developing autonomous vehicle software. It includes neural networks for steering prediction, labeled driving datasets, and ROS integration components to enable self-driving car development. The project serves as both an educational resource and a practical platform for building autonomous vehicle systems.
Students, researchers, and developers working on autonomous vehicle technologies who need access to labeled datasets, pre-trained models, and ROS-compatible components for self-driving car development.
It offers a comprehensive collection of open-source self-driving car resources with real-world datasets and models, combined with an educational challenge format that prioritizes safety and collaborative learning over traditional pull requests.
Overview
The Udacity open source self-driving car project
Use Cases
Best For
- Training neural networks for autonomous vehicle steering control
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