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2026-09-05T22:31:30Z

Freigegebene technische Dokumentation veröffentlicht; Text-only und noindex

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'''Documentation notice:''' This technical documentation was independently rewritten from an archived supplier source. Check technical details and commands against the product version and manufacturer documentation before use.

== Summary ==
The JetRacer 2GB AI Kit is an AI racing robot kit based on the NVIDIA Jetson Nano 2GB Developer Kit (not included). It supports deep learning, automatic line following and autonomous driving. Control is via Jupyter Lab, gamepad teleoperation or interactive regression data collection.

== Related products at JW Tech ==
* [https://shop.jw-tech.eu/p/WSAL20557 WSAL20557 – JetRacer 2GB AI Kit, AI Racing Robot Powered by Jetson Nano 2GB (NOT included)]

== Technical overview ==
* The kit uses three 18650 batteries (not included), delivers up to 12.6 V and drives the motors through a TB6612FNG dual H-bridge.
* An integrated 0.91-inch OLED (128×32) displays IP address, memory and power level.
* Software setup requires an SD card of at least 64 GB; the image is written using Etcher.
* After boot, connect via USB at 192.168.55.1:8888 with default password “jetson”.
* Wi-Fi connection is configured with nmcli commands; then connect to the vehicle over its Wi-Fi IP.
* To limit current draw, set the Jetson Nano to 5 W mode (nvpmodel -m1).
* Notebooks under /jetracer/notebooks/ include basic_motion, teleoperation and interactive-regression.
* Control parameters: car.steering [-1,1] for steering, car.throttle [-1,1] for speed; gain parameters cap maximum values.

'''Commands and examples – verify before use:'''
<syntaxhighlight lang="text">
sudo nmcli device wifi list
sudo nmcli device wifi connect <ssid_name> password <password>
ifconfig
sudo nvpmodel -m1
sudo nvpmodel -q
cd jetracer && git checkout master && sudo python3 setup.py install && sudo reboot
</syntaxhighlight>

== Notes and version constraints ==
* The Jetson Nano 2GB Developer Kit is not included in the kit.
* The 18650 batteries are also not included.
* Do not connect the 12 V adapter directly to the Jetson Nano board; it is only for charging the battery pack.
* If the SD card is not recognized on Windows, reformatting via Disk Management may be required.
* If the motors do not respond, verify that the Waveshare-modified software (not the NVIDIA version) is installed.
* If the camera fails after restart, run “sudo systemctl restart nvargus-daemon”.

== Source and revision record ==
* [https://www.waveshare.com/wiki/JetRacer_2GB_AI_Kit JetRacer 2GB AI Kit - Waveshare Wiki]
* Source revision: 72121
* Captured: 2026-09-02T04:00:07+00:00
* SHA-256: <code>d6b0940d5ca3995f5c2a4a19bc1c68a8e9de1794c8c66adef547e9f4987a83ae</code>

WSAL20557 – JetRacer 2GB AI Kit/en - Versionsgeschichte

JWTechPublisher: Freigegebene technische Dokumentation veröffentlicht; Text-only und noindex