This week we keep going for real! In this lecture, we are going to learn about localization methods, how they are implemented in Autoware.Auto and how they relate to ROS. In particular, you will learn:
* Localization for self-driving cars
* Localization in Autoware.Auto
* Kalman Filters
* The robot_localization package
* NDT algorithms in 2D & 3D
* Setting all that up in Autoware.Auto
Teachers:
* Josh Whitley
* Steve Macenski
* Yunus Emre Çaliskan
You can get the slides at the following link:
* Localization with Autoware: https://gitlab.com/ApexAI/autowareclass2020/-/blob/master/lectures/10_Localization/Localization_with_Autoware.pptx
* State Estimation Algorithms: https://gitlab.com/ApexAI/autowareclass2020/-/blob/master/lectures/10_Localization/State_Estimation_algorithms.pdf
* 2D and 3D NDT algorithms: https://gitlab.com/ApexAI/autowareclass2020/-/blob/master/lectures/10_Localization/2D_and_3D_NDT.pdf
Course produced by The Construct (http://www.theconstruct.ai)