CCBP/K210_JuglansCar

A deep learning intelligent tracking car based on the K210 chip. The project uses an ESP32 to build an HTTP server for remote control and use MobileNet to train the model, and provides detailed information on the project's structure, environment, and resources, as well as instructions for setting up and using the car.

28
/ 100
Experimental

This project helps hobbyists and students build a deep-learning-powered smart car for autonomous driving experiments. You input raw driving data, including images and corresponding steering/speed information, and the system processes it to train a model. The output is a self-driving model that enables the car to navigate autonomously. It's designed for individuals interested in hands-on robotics and AI.

No commits in the last 6 months.

Use this if you want to build and experiment with an autonomous RC car using deep learning, from data collection to model deployment.

Not ideal if you're looking for an out-of-the-box, plug-and-play autonomous vehicle solution without hardware assembly or coding.

robotics autonomous-vehicles hobby-electronics deep-learning-applications STEM-education
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 8 / 25

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Stars

8

Forks

1

Language

Jupyter Notebook

License

MIT

Last pushed

Mar 26, 2023

Commits (30d)

0

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