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(video) Autoware Course Lecture 10: State Estimation for Localization

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)

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