Kursteilnehmer-Bewertung und -Feedback für State Estimation and Localization for Self-Driving Cars von University of Toronto

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

Excellent course. You go from learning the basic concept of state estimation and localization all the way to solving a realistic state estimation problem. The course is quite dynamic, mixing theoretical concepts with real implementation.

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.

Quite a mathematically extensive course, but how the instructors teach will clear all your doubts! The concepts taught apply not only to Self Driving Cars but for any general system. All in all, an excellent course for State Estimation.

The programming assignments given tested us on how well we understood the fundamentals of localization. The solutions were not trivial and one had to think while programming which speaks to how well these assignments were designed

One of the best courses I had on Coursera. Some modules are apparently easy and fast, but the whole course should be well understood in order to pass the final assignment. I had to go back and forth for th

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.

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!

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.

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.

Very good to learn Kalman Filter, and Extened Kalman Filter, espcially the good explanation on why it is effective, and restriction (when it is noise, etc).

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!

Well Planned course. Giving introduction level details to domain State estimation and localization. Very great detail of Kalman Filter available.

Really interesting content and test. Definitely there are lots of advance concepts, so you will need to dedicate quite a lot of time to success.

Finishing this course was quite challenging, but I did it. Thanks a lot to the professors for the clear explanations.

A lot of fun! I learnt a lot and feel that due to the well designed assignments I really got to the bottom of it...

great course but there's really a big need to provide assistance in assignments like hints, equations etc

Challenging, interesting and intriguing.. In simple, an awesome course for any engineering mind !

Very good course! I learned how to implement multiple sensor fusion into practice. Thank you!

great experience and learned a lot more for the extension of self driving cars course 1

please give some coding notes or some codes that only matter with current assignments

it is definitely worth your time , if you are interested in self driving cars/robots

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

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

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