alihassanml/Self-Driving-Using-Deep-learning
This project implements a self-driving car system utilizing a Convolutional Neural Network (CNN) to predict steering angles based on input images from a front-facing camera. The system is designed to operate within the Udacity Self-Driving Car Simulator, enabling autonomous navigation in a simulated environment.
No commits in the last 6 months.
Stars
20
Forks
3
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Apr 12, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/alihassanml/Self-Driving-Using-Deep-learning"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
carla-simulator/carla
Open-source simulator for autonomous driving research.
ProjectNeura/LEADS
Enable your racing car with powerful, data-driven instrumentation, control, and analysis...
deepdrive/deepdrive
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
OpenHUTB/hutb
人车模拟器
thomasfermi/Algorithms-for-Automated-Driving
Each chapter of this (mini-)book guides you in programming one important software component for...