# NVIDIA-AI-IOT/jetracer

An autonomous AI racecar using NVIDIA Jetson Nano

Repository: https://github.com/NVIDIA-AI-IOT/jetracer
Canonical: https://ross.abutalabs.com/products/jetracer
Language: Jupyter Notebook
License: MIT
License Family: permissive
Last push: 2022-02-08T04:36:18+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2701, "days_push": 1667, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1191, forks 345 (observed 2026-08-28T04:03:55.921537+00:00)

## What it is
JetRacer is an open-source project for building an autonomous AI racecar powered by NVIDIA Jetson Nano. It provides Jupyter notebook examples for basic motion control and AI-based road following, with model optimization via TensorRT.

## Use cases
- build an autonomous AI racecar with Jetson Nano
- teach a robot car to follow a road using deep learning
- learn AI inference on embedded GPU hardware
- run interactive robotics experiments from a web browser
- optimize neural networks with TensorRT for edge deployment

## When to choose
- you own or plan to build a JetRacer or similar Jetson Nano RC car
- you want hands-on educational AI robotics projects
- you need example pipelines for road-following with TensorRT optimization

## When to avoid
- you need production-grade autonomous driving software
- you don't have Jetson Nano hardware or an RC car chassis
- you need a project under active development with recent updates

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, computer-vision, robotics, gpu-computing
- domain: robotics, machine-learning, education, autonomous-vehicles, embedded-systems
- platform: python, embedded
- tags: jetson-nano, autonomous-racecar, jupyter-notebooks, tensorrt, road-following, hardware-project, linux, gpu

## Member repositories
- NVIDIA-AI-IOT/jetracer (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:55.921537+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:22:40.830509+00:00, confidence not recorded.
  - readme: https://github.com/NVIDIA-AI-IOT/jetracer (fetched 2026-08-28T04:03:55.921537+00:00, sha 507c4bc938bc)
- Data as of 2026-08-30T08:39:29.467469+00:00.