29. Okt. 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. Feb. 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.
von Harshal B•
22. Mai 2020
A well-taught course by Prof. Jonathan Kelly.I accumulated huge amount of knowledge after undergoing his teachings.The supplementary readings proved to be of great help to ace the final project.
von Farid I•
24. Sep. 2019
Challenging course, specially the assignments. The extra literature resources are great. The explanations and examples on the videos could improve. Step by step Hands On examples would fit great
von Sheraz S•
13. Aug. 2019
For new learners, this course provides the beginner to intermediate knowledge. The explanation with examples are quite interesting and easy.
von Aref A•
26. Juni 2019
Content is great but lack of instructor support makes the course hard to understand.
von chaitanya j•
28. Jan. 2022
the course really amazing the study material in this course was extremely in-depth.
28. Juni 2020
Need more code example or supplementary reading about python and numpy
von Jorge B S•
30. Juni 2020
Some information was really difficult to understand.
von Ahmad I B•
31. Juli 2020
Loved Every bit of it. Looking forward to get more
von David E L•
12. Okt. 2021
6. Mai 2019
von flyhigher Y•
5. Juli 2020
Very informative about the definition and application about EKF at self driving car. However, I am a lidar engineer who want to know more mathematical and application details about how the lidar ToF data are translated to help with the localization, step by step...
On the other hand, videos kindly provided some of the derivation results of the ESEKF going to be implemented into final project. But the arithmetic process of the Quaternion calculation is quite confusing for the first-time learner and the professor didn't clearly explain the meaning of the algebras used in the videos, such as Cns, q(), capital omega, etc... which cost much unnecessary search time for me to figure them out.
Overall, this is a good course in Coursera Unlimited.
von Metehan S•
10. Mai 2021
This course is good for those who are interested in learning about general concept (not in depth) of State Estimation. It would have been better if ICP topic had been distributed through a whole seperate week and had an coding assignment. One need to learn about Particle Filter too. Other than that I am satisfied .
von Karim I•
24. Jan. 2021
The content and the projects are good, but a lot of details as derivations, mathematical concepts (like quaternions) and documentation of the project codes are not well covered neither in the course videos nor in the reading materials.
The forums were not very helpful to explain these details.
von ARTEM B•
21. Sep. 2021
IMHO, assignments throughout all courses of the specialization are overcomplicated. I would appreciate more insights and intuitions about the subject rather than pain from calculation Jacobians and translating raw math formulas to Python code.
von Salma S L•
26. März 2020
some equations weren't explained and remained ambiguous to me, needs more explanation on the mathematical side, other than that a great course and great effort
von Mustafa P•
25. Jan. 2021
More help should be provided by better lectures and more explanation on the projects.
von Wentao T•
17. Mai 2020
too hard, and the data is not good
von Bourama T•
22. Juni 2022
von PRATIK W•
24. Aug. 2020
The coding part for each assignment should be explained in more detail