Understand the Existing System Framework

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

• Download and open the terminal locally or on puTTY to install these libraries :

Tabelle 2: Download And Installation Requirements

#	Name	command	Description	Download
1	install sdl1.2 version.	sudo apt-get update sudo apt-get install libsdl1.2-dev
2	Install the CUDA repo metadata	sudo apt-get update sudo dpkg -i cuda-repo-l4t-r19.2_6.0-42_armhf.deb
3	Install "cuda-toolkit-10-2"	sudo apt-get update sudo apt-get install cuda-toolkit-10-2
4	add Path	echo "# Add CUDA bin & library paths:" >> ~/.bashrc echo "export PATH=/usr/local/cuda/bin:$PATH" >> ~/.bashrc echo "export LD_LIBRARY_PATH=/usr/local/cuda/lib:$LD_LIBRARY_PATH" >> ~/.bashrc source ~/.bashrc sudo apt-get update || ||
5	install sdl1.2 version.	sudo apt-get update sudo apt-get install libsdl1.2-dev
6	[Install the CUDA	sudo apt-get update sudo dpkg -i cuda-repo-l4t-r19.2_6.0-42_armhf.deb

Matlab Setup