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Voltar para State Estimation and Localization for Self-Driving Cars

Comentários e feedback de alunos de State Estimation and Localization for Self-Driving Cars da instituição Universidade de Toronto

736 classificações
119 avaliações

Sobre o curso

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 for state estimation and localization in a self-driving car. By the end of this course, you will be able to: - 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 - Understand LIDAR scan matching and the Iterative Closest Point algorithm - Apply these tools to fuse multiple sensor streams into a single state estimate for a self-driving car For the final project in this course, you will implement the Error-State Extended Kalman Filter (ES-EKF) to localize a vehicle using data from the CARLA simulator. This is an advanced course, intended for learners with a background in mechanical engineering, computer and electrical engineering, or robotics. To succeed in this course, you should have programming experience in Python 3.0, familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses), Statistics (Gaussian probability distributions), Calculus and Physics (forces, moments, inertia, Newton's Laws)....

Melhores avaliações


29 de out de 2019

best online course so far that explains kalman filter and estimation methods with examples not just focusing on theoretical ,Thanks to the Dr's and course staff who worked hard to produce this course.


9 de fev de 2021

The course is informative and well constructed for learners. The final project is designed well so that we can build sensor fusion tools while applying what we have learned from this course.

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51 — 75 de 119 Avaliações para o State Estimation and Localization for Self-Driving Cars

por Paulo E R J

7 de set de 2020

Awesome course, i've learnt a lot about sensors, kalman filters and sensor fusion!

por Zaihao W

17 de jan de 2020

This is the best course that can give me a in-depth understanding on Kalman Filter.


29 de set de 2020

Very Good Lectures and as well as Presentations Thank you for offering this course

por Karthik B K

29 de jun de 2019

Really Advanced and Challenging Course with great scope of gaining knowledge.

por Mehran R

15 de set de 2020

It requires a bit of external studying, but in general, it's a great course.

por huseyin t

14 de fev de 2021

Perfect lecture. Nicely designed assignments and very nice reading advices.

por Levente K

1 de mar de 2019

Sometimes hard, but still pretty much fun to solve all the problems :)

por 380 F V R S

15 de out de 2020

I had an amazing experience got to learn new things from this course

por Ahmed E

12 de abr de 2020

This course was very useful. It will significantly help in my career

por Stefan M

15 de ago de 2019

From my point of view a very interesting and well prepared course.

por Kosinski K

25 de mai de 2020

The great course! Very good presentations and nice projects.


13 de nov de 2020

Great Experience. I had learned some much from this course.

por UMAR T

4 de mar de 2020

The last assignment for this module is very challenging.

por Akash B

16 de jun de 2020

Course was good, need more guidance for calculations.

por Guillermo P G

13 de mai de 2020

Amazing course, congratulations, I have learnt a lot!

por jinglong

27 de mai de 2020

very nice tutorials for autonomous driving beginner.


8 de out de 2019

it's really nice, and amazing course. I enjoyed it

por Felipe M G

26 de out de 2020

This is a excellent course with great proffesors

por Varun J

13 de mai de 2020

Indeed one of the best courses here at Coursera!

por Ansh S

14 de ago de 2020

Amazing specialisation to get aquainted to SLAM

por ER G D

23 de mar de 2021

Very informative course. I really enjoyed it!


26 de mai de 2021

nice but,some part are not clearly explained

por Jose C I G Z

9 de dez de 2020

Awesome course and very challenging!

por 刘宇轩

25 de abr de 2019

The projects are useful enough

por shridhar v

8 de jun de 2020

Kalman filter was interesting