Understand the Existing System Framework
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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
- Install the following adons in matlab
| # | Name | Description |
|---|---|---|
| 1 | Matlab Adons installation |
- Download and open the terminal locally or on PuTTY to install these libraries :
| # | 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
| # | Overview | matlab | jetracer |
|---|---|---|---|
| 1 |
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