dctian/DeepPiCar
Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor
This project guides you through building your own miniature self-driving car using accessible hardware and open-source software. You'll take basic robotic car components and a camera feed, and through step-by-step instructions, create a car that can detect lanes, recognize traffic signs, and respond to pedestrians. It's designed for hobbyists, educators, or anyone interested in hands-on robotics and artificial intelligence.
411 stars. No commits in the last 6 months.
Use this if you want to learn how to build a physical, autonomous robot from scratch, gaining practical experience with deep learning and computer vision.
Not ideal if you're looking for a theoretical understanding of self-driving car algorithms without building a physical model or if you prefer a pre-assembled, ready-to-program kit.
Stars
411
Forks
272
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
May 18, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/dctian/DeepPiCar"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
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