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.
Este curso forma parte de Programa especializado: Automóviles de auto conducción
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Acerca de este Curso
This is an advanced course, intended for learners with a background in mechanical engineering, computer and electrical engineering, or robotics.
Qué aprenderás
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
This is an advanced course, intended for learners with a background in mechanical engineering, computer and electrical engineering, or robotics.
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Programa - Qué aprenderás en este curso
Module 0: Welcome to Course 2: State Estimation and Localization for Self-Driving Cars
Module 1: Least Squares
Module 2: State Estimation - Linear and Nonlinear Kalman Filters
Module 3: GNSS/INS Sensing for Pose Estimation
Module 4: LIDAR Sensing
Reseñas
- 5 stars78,16 %
- 4 stars16,02 %
- 3 stars3,87 %
- 2 stars0,38 %
- 1 star1,55 %
Principales reseñas sobre STATE ESTIMATION AND LOCALIZATION FOR SELF-DRIVING CARS
great course but there's really a big need to provide assistance in assignments like hints, equations etc
One of the most exciting courses ever had in terms of learning and understanding. Kalman filter is a fascinating concept with infinite applications in real life on daily basis.
A great Journey for anyone interested in Self Driving Cars. State estimation is vital in this field and this is a great course to start learning it!
There are many interesting topics. Without the help and suggested readings from this course, I wouldn't be able to finish by myself. Also, the final project is very enlightening.
Acerca de Programa especializado: Automóviles de auto conducción

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