GN
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.
JC
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.
por zhen l
•12 de abr de 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.
por Ravi A
•1 de mai de 2020
This course provides a lot of insights in various sensors used for pose estimation and also delves into multi sensor fusion which gives the knowledge and importance about the sensor calibration. Overall a very well taught course and the most important one for who want to pursue a career in self driving cars.
por Rama C R V
•19 de abr de 2020
Firstly, I would like to start thanking Prof. Jonathan Kelley for making good illustration. I felt it could be better discussing more about sizes of covariance matrices, so that it would help in better understanding of the algebra. Overall a good taught and informative course. Thank you Coursera.
por Abdullah B A
•25 de set de 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
por Mario d R
•14 de nov de 2020
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.
por Himanshu B
•12 de jul de 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.
por Shashank K S
•22 de set de 2020
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.
por Kushagra S
•19 de jun de 2020
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
por Daniele C
•30 de jul de 2020
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
por Gasser N
•30 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.
por Yusen C
•10 de mar de 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!
por Ju-Hsuan C
•10 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.
por Molin D
•10 de nov de 2020
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).
por Mohammad N M
•22 de mai de 2020
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!
por Jithesh
•22 de nov de 2020
Well Planned course. Giving introduction level details to domain State estimation and localization. Very great detail of Kalman Filter available.
por Jairo G
•26 de nov de 2020
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.
por Eric J
•14 de dez de 2021
I have learned KF in the past. First time learning EKF. I liked the rigor in this course! Felt like a legitimate university lesson.
por Davide C
•18 de mai de 2019
Finishing this course was quite challenging, but I did it. Thanks a lot to the professors for the clear explanations.
por Matthias P
•13 de jun de 2020
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...
por Aaryaman B
•6 de set de 2020
great course but there's really a big need to provide assistance in assignments like hints, equations etc
por Eshan M H
•25 de mai de 2020
Challenging, interesting and intriguing.. In simple, an awesome course for any engineering mind !
por YanDing
•1 de fev de 2020
Very good course! I learned how to implement multiple sensor fusion into practice. Thank you!
por Teja k
•22 de out de 2020
great experience and learned a lot more for the extension of self driving cars course 1
por Swapnil N
•2 de set de 2020
please give some coding notes or some codes that only matter with current assignments
por Tahir I
•4 de jun de 2020
it is definitely worth your time , if you are interested in self driving cars/robots