Welcome to the research line on autonomous navigation 👋 🚘

Welcome to the Autonomous Navigation research line of the Hands-on Computer Vision research group. In this section, you will delve into the fascinating world of autonomous navigation, exploring the principles and technologies that allow vehicles and robots to make intelligent decisions and navigate their environment without human intervention. 🚗

Topic Organization

├── assets             <- Static files like images and badges.
│
├── automation
│   │
│   └── autogenerate_notebooks_table.py Script that performs the update of the main readme based on
│        notebooks-table-data.csv
│
├── core <- Common utility functions used across notebooks.
│    │
│    ├── __init__.py   <- Makes core a Python module
│    │
│    └── utils.py      <- Useful functions
│
├── data             <- Data available and for work.
│
├── notebooks          <- Jupyter notebooks. Naming convention is a short `-` delimited description,
│   │                    
│   │
│   ├── Object_detection  <- Tasks for object detection
│   │
│   ├── Segmentation      <- Tasks for segmentation of objects in the scene
│   │
│   ├── Depth        <- Tasks for Depth estimation
│   │
│   ├── LLM4AD       <- Tasks for Large Language Models for Autonomus Driving
│   │
│   └── Challenges   <- Challenges to measure your learning
│
├── awesome papers             <- Markdown articles about important deep learning papers.
│
├── CONTRIBUTING.md    <- How to contribute to the project.
│
├── LICENSE            <- Open-source license (MIT)
│
└── README.md          <- Overview of the repository.