ROS Index
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autoware2020-course repositorylane_detection_data_loader lane_detection_projection lane_detection_visualization lane_msgs radar_conti_ars408 radar_conti_ars408_msgs can_msgs ros2socketcan_bridge |
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Repository Summary
| Checkout URI | https://github.com/t-thanh/autoware2020-course.git |
| VCS Type | git |
| VCS Version | master |
| Last Updated | 2020-08-18 |
| Dev Status | UNMAINTAINED |
| CI status | No Continuous Integration |
| Released | UNRELEASED |
| Tags | No category tags. |
| Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
| Name | Version |
|---|---|
| lane_detection_data_loader | 1.0.0 |
| lane_detection_projection | 1.0.0 |
| lane_detection_visualization | 1.0.0 |
| lane_msgs | 1.0.0 |
| radar_conti_ars408 | 0.0.1 |
| radar_conti_ars408_msgs | 0.0.0 |
| can_msgs | 0.0.0 |
| ros2socketcan_bridge | 0.0.0 |
README
Self-Driving Cars with ROS and Autoware
hosted by Apex.AI
- Self-driving cars will transform the way we travel and commute. This technology merges robotics, machine learning, engineering, and modern software development methods.
What is the course about?
Developing production-grade autonomous driving systems require a stack of interrelated technologies. This course brings together all the significant parts into a practical step-by-step guide to architect, develop, test, and deploy an autonomous system.
This intermediate-level course using the popular open-source robotics frameworks ROS 2 and Autoware.Auto algorithms and covers through the course of 14 lectures, state-of-the-art techniques that combine hardware, software, algorithms, methodologies, tools, and data analytics.
What will I learn?
You’ll learn a modern approach to developing complex systems for autonomy that the most innovative automotive companies are adopting. The teachers are experienced professionals who have contributed open-source materials moving the industry towards higher standards of design, engineering, and safety.
Who should take the course?
This is an intermediate-level course for individuals who develop pre-production autonomous driving systems. Participants should have knowledge of C++ (including testing), robotics frameworks, and system integration.