Linear Kalman Filter

Sort options

State Estimation and Localization for Self-Driving Cars (Coursera)

Welcome to State Estimation and Localization for Self-Driving Cars, the second course in University of Toronto’s Self-Driving Cars Specialization. We recommend you take the first course in the Specialization prior to taking this course. This course will introduce you to the different sensors and how we can use them [...]
0
No votes yet

Sensor Fusion and Non-linear Filtering for Automotive Systems (edX)

Sep 15th 2021
Sensor Fusion and Non-linear Filtering for Automotive Systems (edX)
Course Auditing
Categories
Effort
Languages
Learn fundamental algorithms for sensor fusion and non-linear filtering with application to automotive perception systems. In this course, we will introduce you to the fundamentals of sensor fusion for automotive systems. Key concepts involve Bayesian statistics and how to recursively estimate parameters of interest using a range of different [...]
0
No votes yet