December 21, 2019

375 words 2 mins read



An autonomous AI racecar using NVIDIA Jetson Nano

repo name NVIDIA-AI-IOT/jetracer
repo link
language Jupyter Notebook
size (curr.) 7815 kB
stars (curr.) 355
created 2019-04-11
license MIT License


JetRacer is an autonomous AI racecar using NVIDIA Jetson Nano. With JetRacer you will

  • Go fast - Optimize for high framerates to move at high speeds

  • Have fun - Follow examples and program interactively from your web browser

By building and experimenting with JetRacer you will create fast AI pipelines and push the boundaries of speed.

To get started, follow the setup below.


There are two different JetRacer cars that you can build. They differ primarily in size and speed. Which one to pick depends on your use case

Latrax Rally Tamiya TT02
1/18th scale 1/10th scale
Moderate Speed High Speed
~$400 total build cost ~$600 total build cost
Compact and portable Large and easy to modify
Soldering required No soldering required
Base car pre-assembled Base car assembly required

If you have any questions, please reach out by creating an issue.


JetRacer comes with a couple examples to get you up and running. The examples are in the format of Jupyter Notebooks, which are interactive documents which combine text, code, and visualization. Once you’ve completed the notebooks, start tweaking them to create your own racing software!

Example 1 - Basic motion

In this example you’ll learn to progam JetRacer programatically from your web browser. Learn more in the examples documentation.

Example 2 - Road following

In this example, you’ll teach JetRacer how to follow a road using AI. After training the neural network using the interactive training notebook, you’ll optimize the model using NVIDIA TensorRT and deploy for a live demo. Learn more in the examples.


To get started with JetRacer, follow these steps

  1. Order parts from the bill of materials

  2. Follow the hardware setup

  3. Follow the software setup

  4. Run through the examples

See also

  • JetBot - An educational AI robot based on NVIDIA Jetson Nano

  • JetCam - An easy to use Python camera interface for NVIDIA Jetson

  • JetCard - An SD card image for web programming AI projects with NVIDIA Jetson Nano

  • torch2trt - An easy to use PyTorch to TensorRT converter

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