dctian/DeepPiCar
A deep-learning powered autonomous robotic car built on a Raspberry Pi with Google's Edge TPU.
Not currently ranked — collecting fresh signals.
star history
DeepPiCar is an educational project that builds a physical, self-driving robotic car using TensorFlow and computer vision. It implements lane following, traffic sign detection, and people detection using convolutional neural networks and transfer learning. The system runs on a Raspberry Pi with a SunFounder PiCar-V kit, leveraging Google’s Edge TPU co-processor for accelerated inference.
Frequently asked
- What is dctian/DeepPiCar?
- A deep-learning powered autonomous robotic car built on a Raspberry Pi with Google's Edge TPU.
- Is DeepPiCar open source?
- Yes — dctian/DeepPiCar is open source, released under the GPL-3.0 license.
- What language is DeepPiCar written in?
- dctian/DeepPiCar is primarily written in Jupyter Notebook.
- How popular is DeepPiCar?
- dctian/DeepPiCar has 416 stars on GitHub.
- Where can I find DeepPiCar?
- dctian/DeepPiCar is on GitHub at https://github.com/dctian/DeepPiCar.