jimhoggey/SelfdrivingcarForza
self-driving car in Forza horizon using vision with OpenCV and TensorFlow for deep learning and neural networks. Broad goal: for the system to control the car to drive safely avoid other cars and stay in the lane.
This project helps researchers and developers explore self-driving car technology using a video game like Forza Horizon as a simulation platform. It takes pre-recorded gameplay video and processes it to identify key road features such as lane markings, other vehicles, pedestrians, and traffic signs. The output is a detailed analysis of these elements, useful for those evaluating how self-driving car models behave in varied virtual environments.
No commits in the last 6 months.
Use this if you are a researcher or engineer looking to test and develop self-driving car algorithms in a simulated, controllable environment before real-world deployment.
Not ideal if you need to control a physical self-driving car or integrate directly with real-world sensor data.
Stars
13
Forks
—
Language
Python
License
—
Category
Last pushed
Feb 15, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/jimhoggey/SelfdrivingcarForza"
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.
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...
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