State Estimation and Localization for Self-Driving Cars
Completed by Matthew Salis
January 26, 2020
26 hours (approximately)
Matthew Salis's account is verified. Coursera certifies their successful completion of State Estimation and Localization for Self-Driving Cars
What you will learn
Understand the key methods for parameter and state estimation used for autonomous driving, such as the method of least-squares
Develop a model for typical vehicle localization sensors, including GPS and IMUs
Apply extended and unscented Kalman Filters to a vehicle state estimation problem
Apply LIDAR scan matching and the Iterative Closest Point algorithm
Skills you will gain
- Category: Linear Algebra
- Category: Applied Mathematics
- Category: Estimation
- Category: Mathematical Modeling
- Category: Global Positioning Systems
- Category: Robotics
