# JetRacer — High-Speed AI Racing Robot JetRacer is an open-source AI race car built on the NVIDIA Jetson Nano. It uses a 1/10th-scale RC car chassis with a Jetson Nano mounted on top, enabling neural-network-based road following at speeds exceeding typical educational robots. Steering is controlled by a servo and throttle by an ESC, both commanded directly from the Jetson via I²C. JetRacer ships with Jupyter notebook examples for data collection, training, and live inference of a road-following network (a ResNet18 regression model predicting x/y deviation from center). ## Hardware - NVIDIA Jetson Nano Developer Kit - 1/10-scale RC car chassis (e.g. Waveshare JetRacer Pro) - Front-facing wide-angle camera - PCA9685 PWM servo controller - 7.4V Li-ion battery - 5V power bank for Jetson ## What It Can Do - **Road following** — ResNet18 regresses steering angle from a single camera frame at inference-time - **Object following** — detects and tracks objects using SSD MobileNet - **Live teleoperation** — gamepad-driven control via Jupyter widgets - **Data collection** — annotate frames in-browser by dragging a target point ## Source - Repo: https://github.com/NVIDIA-AI-IOT/jetracer - License: MIT
Category: Other Robots
| Item | Qty | Notes | |------|-----|-------| | NVIDIA Jetson Nano (4GB) | 1 | Main compute | | 1/10-scale RC chassis | 1 | Waveshare JetRacer Pro or DIY | | Wide-angle CSI camera | 1 | Road following input | | PCA9685 PWM controller | 1 | Servo + ESC commands | | 7.4V Li-ion battery | 1 | Drives motors | | 5V power bank | 1 | Jetson power |