Vitaee/CarlaAutonomousDriving
A PyTorch implementation of end-to-end learning for self-driving cars, inspired by NVIDIA's "End to End Learning for Self-Driving Cars" paper on CARLA simulator for data collection and testing with custom implementation
This project helps automotive engineers and researchers develop and test autonomous driving systems. It takes raw camera images from a simulated car and outputs precise steering angle commands, enabling the vehicle to navigate autonomously in a virtual environment. The system learns to drive by mapping visual input directly to steering actions.
Use this if you are developing or researching end-to-end autonomous driving solutions and need a high-performance system for training and testing in a simulated environment like CARLA.
Not ideal if you are looking for a plug-and-play solution for physical autonomous vehicles or if your primary focus is on sensor fusion or path planning rather than direct vision-to-steering control.
Stars
8
Forks
1
Language
Python
License
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Category
Last pushed
Nov 22, 2025
Commits (30d)
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