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DeepPiCar
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DeepPiCar

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

by dctian · GitHub
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artificial-intelligenceautonomous-vehiclescolab-notebookGPL-3.0Jupyter Notebook
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In plain words

Build your own self-driving car using deep learning techniques and a Raspberry Pi.

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2026-07-202026-08-31
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📄 About

Deep 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.

Frequently asked questions

What is DeepPiCar?

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

Is DeepPiCar open source?

DeepPiCar is an open-source project. It is released under the GPL-3.0 license.

Is DeepPiCar free?

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.

What license does DeepPiCar use?

DeepPiCar is available under the GPL-3.0 license.

What language is DeepPiCar written in?

DeepPiCar is written mainly in Jupyter Notebook.

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