sze-info.github.io/avr

🚘 Autonomous vehicles and robots software engineering || Autonóm járművek és robotok programozása

Acknowledgement

There are many courses who inspired this lecture, some parts were referenced or cited in this course with proper open source licencing.

• We are grateful to our colleagues at the MIT RACECAR project for creating the F1/10 car model for Gazebo, and the F1/10 community for sharing insights on mapping, localization, and TEB-planner. MIT license.
• Thank you for the F1/10 Crew at Univerisity of Virginia: Dr. Madhur Behl and Varundev Suresh Babu. GPL-3.0 license. Link.
• Thank you for ETH Zürich Programming for Robotics - ROS: Péter Fankhauser, Dominic Jud, Martin Wermelinger, Prof. Dr. Marco Hutter.
• Thank you for "Autonomous Driving Software Engineering" by the Institute of Automotive Technology (Prof. Dr.-Ing. Lienkamp, Phillip Karle), TU München. GPL-3.0 license.
• Thank you for TH Ingolstadt, Autonomous Vehicle Engineering Faculty of Electrical Engineering and Computer Science.
• Thank you Stanford University - Introduction to Robotics by Prof. Oussama Khatib.
• Thank you Stanford University - CS231n: Convolutional Neural Networks for Visual Recognition. Andrej Karpathy. MIT license
• Thank you Autoware Foundation for the software and the documentation. Apache License 2.0.
• Thank you Óbuda University Antal Bejczy Center for Intelligent Robotics - Tamás D. Nagy and Péter Galambos CC BY-NC-SA 4.0
• Thank you Antonio Mauro Galiano - MIT license
• Thank you Bokor József, Bokor József & Gáspár Péter. Irányítástechnika
• Thank you Korondi Péter: "Rendszertechnika: Integrált gépészeti és villamos rendszerek leírása irányításelméleti megközelítésben", egyetemi jegyzet, Budapesti Műszaki és Gazdaságtudományi Egyetem, Mechatronika, Optika és Gépészeti Informatika tanszék

sze-info.github.io/ajr

Credits

A big thank you goes to the following people/groups:

• [MkDocs] for providing the software, to generate documentation.
• [squidfunk] for the [MkDocs Material Theme].
• [facelessuser] for the [PyMdown Extensions].

Commands

$ git clone https://github.com/sze-info/avr/ && cd avr
$ pip install mkdocs mkdocs-material "mkdocs-material[imaging]"
$ mkdocs build
$ mkdocs serve

Note

If you encounter the error zsh: command not found: mkdocs after installing mkdocs-material, it might be because the installation directory is not in your PATH. You can fix this by adding the following line to your shell configuration file (.zshrc for Zsh or .bashrc for Bash):

export PATH=$PATH:~/.local/bin

After adding this line, reload your shell configuration:

source ~/.zshrc  # For Zsh
source ~/.bashrc  # For Bash

MkDocs License

MkDocs template is served under the MIT license.
Read the [LICENSE] file for more info.