Oct 14, 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.
Apr 27, 2019
It provides a hand-on experience in implementing part of the localization process...interesting stuff!! Kind of time-consuming so be prepared.
par Remon G
•Aug 12, 2019
Very useful!
Great experience!
Congratulation all the people involved in this course!
par Guruprasad M H
•Apr 29, 2019
one of best experiences. But the course requires a steep learning curve. The discussion forums are really helpful
par Aditya B
•Jul 01, 2019
Review :
Mentor Help: 0/5
Course Content: 4/5
Course Explanation: 4/5
Course Challenging: 4/5
Exercises : 3/5
Things which can be improved: There should be a programming exercise for each module especially for modules like ICP. There should be more mentor support as everything can't be understood by videos. There is/was an expectation of doing the final project in CARLA online but it was offline and also the ICP was pre-implemented. But overall for starters it is a very good course for state estimation to support and I strongly suggest to complete it if you aspire to be a self - driving car engineer.
par Jon H
•Jun 05, 2019
There is no support for this class
The forums are almost useless and no teacher or staff ever answers anything on them
The lectures are pure fluff and hand-waving, no meat and no details
The projects are extremely difficult and there is no lessons to cover material needed for the projects
Would not recommend unless you want to basically learn on your own
Too much work BTW I did get 100%.
par Himanshu B
•Jul 12, 2019
Got to learn about many concepts like least squares, Kalman filter, GNSS/INS sensing, LIDAR Sensing. Programming assignments were the most difficult part of this course. And definitely going towards the next course in the specialization.
par Joachim S
•Jun 11, 2019
I was impressed about the different methods available to do state estimation. The content was well presented (all slides shown are available as a PDF download) although in a quite compressed fashion. As in course 1 I would have preferred much longer videos so that more details of the different models could have been highlighted. Personally I was amazed about concepts like the Quarternion that I have never heart about before. A great plus from my perspective is that - like in course 1 - every lesson has a list of further articles to read - and in order to really comprehend the stuff presented I recommend in doing a deep-dive into these articles. Personally I found the coding assignments really demanding and as a side note I would have appreciated a little bit more presence of the teaching stuff to clarify. Currently the impression is that besides a monthly post in the discussion forum the teaching stuff is not visible - which is really sad as I think this whole specialization to be prime content. Unfortunately the locked video that will be shown to you when having completed the assignment is only a white screen and you are not able to follow the explanations the professor is providing. I would really appreciate if the invisible slides would be available for download but this is not the case. All in all I am a little bit mixed about the course as for example particle filters are just mentioned in one video but not explained as all the various types of Kalman filters. Still I give this course a 5-star ranking as it provides a good starting point for those trying to dig deeper into SLAM.
par Yusen C
•Mar 10, 2019
Could we use C++ to program the projects?
And also, in most assignments, please make sure every requirements and additional information are CORRECT and CLEAR! Now, some of them are REALLY MISLEADING!
par Levente K
•Mar 01, 2019
Sometimes hard, but still pretty much fun to solve all the problems :)
par James L
•Apr 12, 2019
This is a fast paced course on state estimation. ES Kalman Filter is the focus of the final project. Lectures cover basics of Kalman filter very thoroughly. You need to spend quite some time to sort out complexity to finish the final project, yet the efforts are well spent. You will only graph the fundamentals after hard projects. Overall, a very well organized and executed course. Highly recommended.
par 刘宇轩
•Apr 25, 2019
The projects are useful enough
par River L
•Apr 27, 2019
It provides a hand-on experience in implementing part of the localization process...interesting stuff!! Kind of time-consuming so be prepared.
par Karthik B K
•Jun 29, 2019
Really Advanced and Challenging Course with great scope of gaining knowledge.
par Davide C
•May 18, 2019
Finishing this course was quite challenging, but I did it. Thanks a lot to the professors for the clear explanations.
par Georgios T
•Jul 30, 2019
Very helpful!
par Ananth R
•Jul 30, 2019
An excellent course on state estimation and localization. This course is a hands-on approach to the development and implementation of the Kalman Filter for localization. Parts of the assignments and the final project were challenging and the course needs a lot of self-study. The resources provided on the course proved to be extremely useful throughout, and almost self-sufficient. I highly encourage anybody who's willing to take up a practical challenge in state-estimation to take this course.
par Muhammad H S H J I
•Aug 12, 2019
Very interesting course if you want to learn about the different filters used in self driving cars for sensor fusion
par Stefan M
•Aug 16, 2019
From my point of view a very interesting and well prepared course.
par Wit S
•Oct 14, 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.
par PRASHANT K R
•Oct 08, 2019
it's really nice, and amazing course. I enjoyed it
par Abdullah B A
•Sep 25, 2019
excellent course with a lot of valuable and up to date information that is used in real modern self driving cars, it was challenging and very hard for me to go through but i assure you that it's worthy of the hard work required to pass it
par Yuwei W
•Nov 17, 2019
great
par Gasser N
•Oct 30, 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.
par mert s
•Nov 01, 2019
excellent course
par Carlos E S V
•Dec 05, 2019
Excellent course! The best course available of this topic
par Anis M
•Dec 06, 2019
a very good course about sensor fusion ans localization