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Evrard.leuteu-feukeu@stud.hshl.de (Diskussion | Beiträge)
wiki-autoren
413 Bearbeitungen
Keine Bearbeitungszusammenfassung
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== Connect MATLAB & JETRACER ==
== Connect MATLAB & JETRACER ==
=== Requirements ===
=== Jetracer Setup ===
* Connect JETRACER with a computer with HDMI, mouse, ethernet cable and keyboard.
* It will bring default Linux version and keep procced to setup. Keep <code> username = jetracer & password = jetson</code> during setup.
* After setup open the command window and give command <code>ifconfig</code> to get the Ip address of Jetracer.
* If connection is via WLAN the Ip will change and change accordingly.
* Install puTTY on pc to use SSH key
[[Datei:PuTTY configuration.png]]
 
=== Library to be installed ===
* Open the terminal and install these libraries :
{| class="wikitable"
{| class="wikitable"
|+ Tabelle 2: Installation Requirements
|+ Tabelle 2: Installation Requirements
|-
|-
! # !! Name !! Description
! # !! Name !! command !! Description
|-
|-
| 1 || Matlab || Version compatible with cuda 10.2 [[https://de.mathworks.com/support/requirements/supported-compilers.html]]
| 1 || Matlab || ||Version compatible with cuda 10.2 [[https://de.mathworks.com/support/requirements/supported-compilers.html]]
|-
|-
| 2 || [https://developer.nvidia.com/embedded/jetpack-sdk-461 Jetpack SDK 4.6.1] || Flash software with balenaEtcher on SD-cerd  
| 2 || [https://developer.nvidia.com/embedded/jetpack-sdk-461 Jetpack SDK 4.6.1] || || Flash software with balenaEtcher on SD-cerd  
|}
|}


* 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].


=== Matlab Setup ===
=== Matlab Setup ===
=== Jetracer Setup ===

Version vom 2. Mai 2025, 10:54 Uhr

Hardware Setup And Requirement

Tabelle 1: Software and Hardware Requirements
# Name Description
1 External PC Matlab will be installed and Gpu for training
2 Jetracer TX1 Camera senor, game pad, AI chip, external monitor, mouse and keyboard (to access the software)
3 SD Card 16Gb SD-cerd and SD-card reader
4 Matlab Version compatible with cuda 10.2 [[1]]
5 Jetpack SDK 4.6.1 Flash software with balenaEtcher on SD-cerd

Setup

  • For the setup of Jetracer hardware it can be easily done following the manual [2], [[3]] and assemble it [4] .
  • For MAtlab, install the following AdOns:


Connect MATLAB & JETRACER

Jetracer Setup

  • Connect JETRACER with a computer with HDMI, mouse, ethernet cable and keyboard.
  • It will bring default Linux version and keep procced to setup. Keep username = jetracer & password = jetson during setup.
  • After setup open the command window and give command ifconfig to get the Ip address of Jetracer.
  • If connection is via WLAN the Ip will change and change accordingly.
  • Install puTTY on pc to use SSH key

Library to be installed

  • Open the terminal and install these libraries :
Tabelle 2: Installation Requirements
# Name command Description
1 Matlab Version compatible with cuda 10.2 [[5]]
2 Jetpack SDK 4.6.1 Flash software with balenaEtcher on SD-cerd


Matlab Setup

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