GN
Oct 29, 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.
WS
Oct 13, 2019
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.
By DHAYAPULLESAIPAVAN R
•May 26, 2021
nice but,some part are not clearly explained
By José C I G Z
•Dec 9, 2020
Awesome course and very challenging!
By 刘宇轩
•Apr 25, 2019
The projects are useful enough
By shridhar v
•Jun 8, 2020
Kalman filter was interesting
By 张志萌
•Mar 8, 2022
very good course. Thank you
By Vishwas N
•Apr 29, 2020
very nicely crafted course
By Johnnylee
•May 16, 2022
课程内容很充实又有意义,希望有准确的中文字幕
By Seyed M A S
•Mar 1, 2024
It was a great course
By Luis E T R
•Sep 13, 2020
An outstanding course
By Sujeet B
•Dec 7, 2020
Lot's of learning...
By Davi F d B
•Sep 25, 2022
Excelente curso!
By Bao N
•May 28, 2020
Many many thanks!
By MIHIR R J
•May 30, 2020
Very Infomative!
By mert s
•Oct 31, 2019
excellent course
By Satwik C
•Nov 4, 2023
Good course
By Adam A A
•Mar 2, 2021
just pefect
By Arturo A E O
•Sep 2, 2020
excelente
By Cesar Q
•Oct 15, 2021
Love it!
By Matías F
•Jan 18, 2021
amazing!
By Jeff D
•Nov 28, 2020
Thanks
By Md. R Q S
•Aug 19, 2020
great
By 01fe21bec413
•Mar 21, 2024
Good
By Soumyajit M
•Oct 5, 2020
Good
By Nejc D
•May 6, 2020
The course covers some interesting and highly important concepts regarding state estimation. I guess the videos are not intended to be a "follow-along" lectures but more of a "these are the topics you should study by yourself" videos. In other words, the videos tend not to go deep, instead only the important results are quickly presented. On the other hand the programming assigments are quite fun.
Reflecting on how much knowledge and understanding somebody needs to show to pass this course I wouldn't rate it as advanced, I would rather say intermediate.
To sum up, this is either a course for somebody who wants to get some basic ideas about state estimation applied to self driving cars or for somebody who wants to dive deep into this topic and wants to use this course as a guidance on his/her self-study journey
By Maksym B
•Apr 3, 2019
The course has very advanced material and I value this course a lot. However I am very confused at some key concepts and didn't understand many details conceptually. For example it is not clear what is the difference between EKF and ES-EKF.
Also, for the final project the formulas have been given. I implemented the project using the formulas, but I didn't understand deeply enough the meaning of those formulas. For example what does Kalman Gain represent.
Maybe the topic is just so advanced, or maybe I should be reading more resources outside the lectures. But I finished the course with the feeling that I have a lot to learn in the space of localization and state estimation.