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2026-09-05T22:14:23Z

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 AI Kit is an AI racing robot based on the Jetson Nano Developer Kit, supporting deep learning, automatic line following, and autonomous driving. It is controlled via Jupyter Lab, with examples for basic motion, teleoperation, interactive regression, and road following.

== Related products at JW Tech ==
* [https://shop.jw-tech.eu/p/WSAL17606 WSAL17606 – JetRacer AI Kit B, AI Racing Robot Powered by Jetson Nano, comes with Waveshare Jetson Nano Dev Kit]
* [https://shop.jw-tech.eu/p/WSAL17607 WSAL17607 – JetRacer AI Kit, AI Racing Robot Powered by Jetson Nano (NOT included)]
* [https://shop.jw-tech.eu/p/WSAL24732 WSAL24732 – JetRacer AI Kit B, AI Racing Robot Powered by Jetson Nano, comes with Waveshare Jetson Nano Dev Kit]
* [https://shop.jw-tech.eu/p/WSAL24733 WSAL24733 – JetRacer AI Kit, AI Racing Robot Powered by Jetson Nano (NOT included)]

== Technical overview ==
* Supports three 18650 batteries (not included), 7800 mAh capacity, up to 12.6 V output voltage.
* Onboard S-8254AA + AO4407A Li-ion battery protection circuit with overcharge, over-discharge, overcurrent and short-circuit protection.
* Onboard APW7313 voltage regulator provides stable 5 V to the Jetson Nano.
* Onboard TB6612FNG dual H-bridge motor driver chip drives the left and right motor axes.
* Onboard 0.91-inch OLED display (128×32) shows IP address, memory, power supply and operating status in real time.
* INA219 acquisition chip enables real-time monitoring of battery voltage.
* Software setup: Write the JetRacer image (based on JetPack 4.5) to an SD card of at least 64 GB.
* Startup: Insert the SD card into the slot under the Jetson Nano, power on the unit and connect to a PC via micro USB.
* Wi-Fi connection: In the Jupyter Lab terminal run “sudo nmcli device wifi list”, then “sudo nmcli device wifi connect <ssid_name> password <password>”, then check the Wlan0 IP with “ifconfig”.
* Example notebooks located under /jetracer/notebooks/: basic_motion.ipynb, teleoperation.ipynb, interactive-regression.ipynb, road_following.ipynb.

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

== Notes and version constraints ==
* Exact compatibility with different Jetson Nano Dev Kit revisions (e.g., B01 vs. other revisions) must be verified before purchase; the source only mentions the generic “Jetson Nano Developer Kit”.
* The note that “the non-pro version should switch the jetracer repository to master at Step 5” suggests differences between Pro and non-Pro variants; which variant is actually supplied is not clear from the source.
* The gamepad receiver must be connected to the computer, not the Jetson Nano; the correct INDEX value depends on the specific gamepad model and should be verified on html5gamepad.com.
* Loading torch-1.2.0a0+8554416-cp36-cp36m-linux_aarch64.whl assumes Python 3.6 and specific dependencies; if the environment differs, errors may occur.
* After reformatting a TF card on Windows, the card must be formatted again before a new image can be written; otherwise recognition may fail.

== Source and revision record ==
* [https://www.waveshare.com/wiki/JetRacer_AI_Kit JetRacer AI Kit - Waveshare Wiki]
* Source revision: 75675
* Captured: 2026-08-31T04:26:19+00:00
* SHA-256: <code>73ff9d7c679636a26393b2fd4dc835ec4add2297fa962e216680bc7ece5fcbe4</code>

WSAL17606 – JetRacer AI Kit/en - Versionsgeschichte

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