Lecture 9 - Scan Matching I¶
- Overview:
This lecture is part one of three localization lectures. We’ll learn how to determine the state (position and orietnation) of a robot with respect to its environment. The F1TENTH vehicle uses range measurements from the lidar to localize. The iterative closest point algorithm and fast correspondence search are explained. At the end of the lecture, there is an overview of Lab 5.
- Topics Covered:
Localization/SLAM
Scan Matching
Iterative Closest Point
Fast Correspondence Search
- Associated Assignment:
Slides:
- Links to additional resources: