sze-info.github.io/ajr

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

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/ajr/ && cd ajr
$ pip install mkdocs mkdocs-material "mkdocs-material[imaging]"
$ mkdocs build
$ mkdocs serve

MkDocs License

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