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

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 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

Tabelle 2: Matlab Setup Requirements
#	Name	Description
1	Matlab Adons installation

Tabelle 2: Download And Installation Requirements
#	Name	Download	Description	command
1	install sdl1.2 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]