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https://github.com/afondiel/self-driving-cars-ros-autoware-freecourse-apexai

Self-Driving Cars with ROS and Autoware opensource stack by Autoware Foundation hosted by ApexAI.
https://github.com/afondiel/self-driving-cars-ros-autoware-freecourse-apexai

ai apex autoware freecourses robotics robotics-simulation ros ros2 self-driving-car-engineer self-driving-car-simulation self-driving-cars

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Self-Driving Cars with ROS and Autoware opensource stack by Autoware Foundation hosted by ApexAI.

Host: GitHub
URL: https://github.com/afondiel/self-driving-cars-ros-autoware-freecourse-apexai
Owner: afondiel
Created: 2023-09-21T20:20:21.000Z (about 1 year ago)
Default Branch: main
Last Pushed: 2024-03-24T22:07:40.000Z (8 months ago)
Last Synced: 2024-03-24T23:22:01.696Z (8 months ago)
Topics: ai, apex, autoware, freecourses, robotics, robotics-simulation, ros, ros2, self-driving-car-engineer, self-driving-car-simulation, self-driving-cars
Language: HTML
Homepage: https://www.apex.ai/autoware-course
Size: 19.5 MB
Stars: 1
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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README

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# Self-Driving Cars with ROS & Autoware by ApexAI 

## Overview

Self-Driving Cars with ROS and Autoware opensource stack by [Autoware Foundation](https://www.autoware.org/) hosted by [ApexAI](Apex.AI).

The courses are lectured by Autoware foundation members, which includes the following companies and Universities:

- [ADLINK](https://www.adlinktech.com)

- [Apex.AI](https://www.apex.ai/)

- [Autonomous Stuff](https://autonomoustuff.com/)

- [Embotech](http://embotech.com/) 

- [FH Aachen University](https://www.fh-aachen.de/en/) 

- [Graz University of Technology](https://www.tugraz.at/en/home/) 

- [Kalray](http://kalray.eu/) 

- [LG](http://lge.com/) 

- [Open Robotics ](http://openrobotics.org/)

- [Parkopedia](http://parkopedia.com/) 

- [Samsung](https://www.sra.samsung.com/) 

- [StreetScooter](http://streetscooter.com/) 

- [Ternaris](https://ternaris.com/) 

- [Tier IV ](http://tier4.jp/)

- [The Construct](http://www.theconstruct.com)

The course comprises 14 courses with an estimation duration of 14H. 

## Course Contents

- [01 - Development Environment](./01_DevelopmentEnvironment/)

- [02 - ROS2 101](./02_ROS2_101/)

- [03 - ROS Tooling](./03_ROS_Tooling/)

- [04 - Platform](./04_Platform/)

- [05 - Architectures](./05_Architectures/)

- [06 - Autoware 101](./06_Autoware_101/)

- [07 - Object Perception LIDAR](./07_Object_Perception_LIDAR/)

- [08 - Perception Camera](./08_Perception_Camera/)

- [09 - Perception Radar](./09_Perception_Radar/)

- [10 - Localization](./10_Localization/)

- [11 - LGSVL Simulator](./11_LGSVL_Simulator/)

- [12 - Motion Control](./12_Motion_Control/)

- [13 - MARV Data Analytics](./13_MARV_Data_Analytics/)

- [14 - HD Maps](./14_HD_Maps/)

## Requirements

- [ADE](https://ade-cli.readthedocs.io/en/latest/intro.html)

- [ROS, ROS2 ...](https://www.ros.org/)

- [KITTI dataset](https://www.cvlibs.net/datasets/kitti/)

- [kitti_ros dataset](https://github.com/AutoLidarPerception/kitti_ros)

- [MARV Robotics - Tool for Large Data Storage, Analysis, Viewing and Testing](https://roscon.ros.org/2016/presentations/MARVRoboticsPangercic.pdf)

## Setup

The entire course resources is over 1GB size, since the Git repository is limited to a maximum of 500 MB per repo. 

Therefore, I didn't upload the kitti dataset examples for [course 13](./13_MARV_Data_Analytics/scanroot/kitti/), which are 1,02 GB, but you can get them from the original course [gitlab repo](https://gitlab.com/ApexAI/autowareclass2020/-/tree/master/lectures).  

## References

- Course hosted by ApexAI

  - https://www.apex.ai/autoware-course

- Course youtube videos: 

  - https://www.youtube.com/playlist?list=PLL57Sz4fhxLpCXgN0lvCF7aHAlRA5FoFr

- Course lectures gitlab: 

  - https://gitlab.com/ApexAI/autowareclass2020/-/tree/master/lectures

- Course Code Sources: 

  - https://gitlab.com/ApexAI/autowareclass2020/-/tree/master

- Issues & Forum: 

  - https://gitlab.com/ApexAI/autowareclass2020/-/issues

Additional resources

- [Robotics resources](https://github.com/afondiel/computer-science-open-catalog/tree/master/robotics)

- [ROS personal notes](https://github.com/afondiel/computer-science-open-catalog/blob/master/robotics/ros/ros-notes.md)