deepraj1729/Self-Driving-Cars
Simulating a Self-Driving Car with basics of Deep Learning and Computer Vision
This project helps automotive engineers and researchers understand and simulate core functionalities of self-driving cars. It takes raw video footage or camera images as input and processes them to identify lane lines, recognize traffic signs, and simulate autonomous vehicle behavior. The output includes visual overlays on video showing detected lanes and identified signs, as well as a simulated car navigating a track.
No commits in the last 6 months.
Use this if you are a student or researcher in automotive engineering looking to grasp foundational concepts of autonomous driving like lane detection, traffic sign recognition, and behavioral cloning through practical simulations.
Not ideal if you need a production-ready solution for an actual self-driving car or a highly complex, photorealistic driving simulator.
Stars
20
Forks
8
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 06, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/deepraj1729/Self-Driving-Cars"
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