Understand the Existing System Framework
Hardware Setup And Requirement
| # | 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 = jetsonduring setup. - After setup open the command window and give command
ifconfigto 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 :
| # | Name | Download | Description | command |
|---|---|---|---|---|
| 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 | ||
| 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
