Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor
Build your own self-driving car using deep learning techniques and a Raspberry Pi.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeDeep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor
DeepPiCar has 417 stars on GitHub. It has been forked 274 times. DeepPiCar is written mainly in Jupyter Notebook. It has been in active development since 2019. DeepPiCar is available under the GPL-3.0 license. Its main topics are artificial-intelligence, autonomous-vehicles, colab-notebook, computer-vision.
Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor
DeepPiCar is an open-source project. It is released under the GPL-3.0 license.
Yes. DeepPiCar is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
DeepPiCar is available under the GPL-3.0 license.
DeepPiCar is written mainly in Jupyter Notebook.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/dctian-deeppicar.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.