Understand the existing system: Unterschied zwischen den Versionen

Aktuelle Version vom 18. Oktober 2024, 14:35 Uhr

For the setup of Jetracer hardware it can be easily done following the manual [1], [[2]] and assemble it [3] .

For Jetracer use the jetpack 4.6.1 [4] which is supported by MATLAB latest version.

For Software setup firstly the Jetracer which has the Jetracer AI Kit on SD card to set it up and all the config. which the full process can be found in [5].

MATLAB also is been installed on the local device to operate and manage the Jetracer. Then the addon package of nvidia-jetson is also installed for the hardware package. Various other package also been installed for this project such as Deep-learning, computer-vision, also gpu-computing.

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+* For the setup of Jetracer hardware it can be easily done following the manual [https://www.waveshare.com/w/upload/f/fa/Jetracer_pro_Assembly_EN.pdf], [[https://wiki.hshl.de/wiki/index.php/JetRacer:_Teach-In_Tutorial]] and assemble it [https://youtu.be/Mn2QYPFADdo] .
+* For Jetracer use the jetpack 4.6.1 [https://developer.nvidia.com/embedded/jetpack-sdk-461] which is supported by MATLAB latest version.
+* For Software setup firstly the Jetracer which has the Jetracer AI Kit on SD card to set it up and all the config. which the full process can be found in [https://www.waveshare.com/wiki/JetRacer_AI_Kit].
+* MATLAB also is been installed on the local device to operate and manage the Jetracer. Then the addon package of [https://de.mathworks.com/hardware-support/nvidia-jetson.html nvidia-jetson] is also installed for the hardware package. Various other package also been installed for this project such as [https://de.mathworks.com/products/deep-learning.html Deep-learning], [https://de.mathworks.com/products/computer-vision.html computer-vision], also [https://de.mathworks.com/solutions/gpu-computing.html gpu-computing].