Skip to content

Latest commit

 

History

117 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

JetsonAutonomousDriving

Table of contents

  1. Presentation
  2. Project architecture

Presentation

The objective of this project is to explore the possibilities of NVIDIA's Jetson Nano card for real-time video processing. The idea is to develop a processing chain for the autonomous driving of a small robot-car.

Weekly report : https://www.overleaf.com/read/rnhmbsmgdsfd

Project architecture


JetsonAutonomousDriving/
      ├── src/                   
      |    ├── tutorial/                (Folder containing CNN/PyTorch tutorials)
      |    |    ├── cnn_pytorch_tutorial/
      |    |    └── kaggle_cnn_pytorch_tutorial/                 
      |    ├─── main/              
      |    |     ├── model_benchmark/    (Benchmarks of different CNN on Jetson card) 
      |    |     |    ├── models/        (Folder containing .pth files for each model tested)
      |    |     |    └── results.txt    (File containing some results and a link to google sheets)
      |    |     ├── model/              (Final model for our project)
      |    |     ├── segmentation/       (Segmentation experimentations)
      |    |     ├── data_acquisition/   (Getting some video data from the robot-car)
      |    |     └── hand_gesture_model/ (Hand gesture experimentations) 
      |    └── robot/                    (Folder containing the robot-car scripts)
      ├── txt/                   
      |    ├── subject.pdf              (Original subject (in french))
      |    └── todo.txt            
      ├── assets/ 	                (Additional assets needed for the projects such as Jetson SDK) 
      ├── README.md		          
      └── LICENSE  

About

Deep learning / Computer vision project about autonomous driving with a NVIDIA Jetson Nano card, a RasberryPi and a robot-car.

Topics

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages