Understand the Existing System Framework: Unterschied zwischen den Versionen

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Evrard.leuteu-feukeu@stud.hshl.de (Diskussion | Beiträge)
Keine Bearbeitungszusammenfassung
Evrard.leuteu-feukeu@stud.hshl.de (Diskussion | Beiträge)
Keine Bearbeitungszusammenfassung
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| 3 || SD Card || 16Gb SD-cerd and SD-card reader
| 3 || SD Card || 16Gb SD-cerd and SD-card reader
|-
|-
| 4 || Matlab || Version compatible with cuda 10.2 [[https://www.mathworks.com/help/releases/R2021b/parallel-computing/gpu-support-by-release.html]]
| 4 || Matlab || Version compatible with cuda 10.2 [https://www.mathworks.com/help/releases/R2021b/parallel-computing/gpu-support-by-release.html]
|-
|-
| 5 || [https://developer.nvidia.com/embedded/jetpack-sdk-461 Jetpack SDK 4.6.1] ||  Flash software with balenaEtcher on SD-cerd  
| 5 || [https://developer.nvidia.com/embedded/jetpack-sdk-461 Jetpack SDK 4.6.1] ||  Flash software with balenaEtcher on SD-cerd  
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=== Setup ===
=== Setup ===
* 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 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 Matlab, install the following AdOns:
*For Matlab, install the following AdOns:


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|}
|}


* Download and open the terminal locally or on puTTY to install these libraries :
* Download and open the terminal locally or on PuTTY to install these libraries :
{| class="wikitable"
{| class="wikitable"
|+ Tabelle 3: Download And Installation Requirements
|+ Tabelle 3: Download And Installation Requirements
|-
|-
! # !! Name !! Download !! Description !! command
! # !! Name !! Download !! Description !! command
|-
|-
| 1 || install sdl1.2 version. ||  || Cuda development libraries || <code> sudo apt-get update</code>    <code>sudo apt-get install libsdl1.2-dev</code>
| 1 || install sdl 1.2 version. ||  || Cuda development libraries || <code> sudo apt-get update</code>    <code>sudo apt-get install libsdl1.2-dev</code>
|-
|-
| 2 || Install the CUDA repo metadata || Link [https://elinux.org/Jetson/Installing_CUDA] || If There's any package error, use this link [https://forums.developer.nvidia.com/t/solution-dpkg-error-processing-package-nvidia-l4t-bootloader-configure/208627]  ||  
| 2 || Install the CUDA repo metadata || Link [https://elinux.org/Jetson/Installing_CUDA] || If There's any package error, use this link [https://forums.developer.nvidia.com/t/solution-dpkg-error-processing-package-nvidia-l4t-bootloader-configure/208627]  ||  

Version vom 1. Juni 2025, 12:58 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

  • Install the following adons in matlab
Tabelle 2: Matlab Setup Requirements
# Name Description
1 Matlab Adons installation
  • Download and open the terminal locally or on PuTTY to install these libraries :
Tabelle 3: Download And Installation Requirements
# Name Download Description command
1 install sdl 1.2 version. Cuda development libraries sudo apt-get update sudo apt-get install libsdl1.2-dev
2 Install the CUDA repo metadata Link [5] If There's any package error, use this link [6]
3 Install "CuDNN" cuDNN link[7] CuDNN link[8]
4 add Path it should look like this[9]
  # Add CUDA bin & library paths
  export PATH=/usr/local/cuda-10.2/bin:$PATH
  export LD_LIBRARY_PATH=/usr/local/cuda-10.2/lib64:$LD_LIBRARY_PATH
  source ~/.bashrc
5 nvcc errors Here were the errors i had and thiere solutions [10]

Results

Tabelle 4: Results
# Overview matlab jetracer
1