Self-Driving Cars with ROS and Autoware opensource stack by Autoware Foundation hosted by ApexAI.
The courses are lectured by Autoware foundation members, which includes the following companies and Universities:
- ADLINK
- Apex.AI
- Autonomous Stuff
- Embotech
- FH Aachen University
- Graz University of Technology
- Kalray
- LG
- Open Robotics
- Parkopedia
- Samsung
- StreetScooter
- Ternaris
- Tier IV
- The Construct
The course comprises 14 courses with an estimation duration of 14H.
- 01 - Development Environment
- 02 - ROS2 101
- 03 - ROS Tooling
- 04 - Platform
- 05 - Architectures
- 06 - Autoware 101
- 07 - Object Perception LIDAR
- 08 - Perception Camera
- 09 - Perception Radar
- 10 - Localization
- 11 - LGSVL Simulator
- 12 - Motion Control
- 13 - MARV Data Analytics
- 14 - HD Maps
- ADE
- ROS, ROS2 ...
- KITTI dataset
- kitti_ros dataset
- MARV Robotics - Tool for Large Data Storage, Analysis, Viewing and Testing
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, which are 1,02 GB, but you can get them from the original course gitlab repo.
- Course hosted by ApexAI
- Course youtube videos:
- Course lectures gitlab:
- Course Code Sources:
- Issues & Forum:
Additional resources