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.
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 Harshal B•
22 de mai de 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.
por Farid I•
24 de set de 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
por Sheraz S•
13 de ago de 2019
For new learners, this course provides the beginner to intermediate knowledge. The explanation with examples are quite interesting and easy.
por Aref A•
26 de jun de 2019
Content is great but lack of instructor support makes the course hard to understand.
por chaitanya j•
28 de jan de 2022
the course really amazing the study material in this course was extremely in-depth.
28 de jun de 2020
Need more code example or supplementary reading about python and numpy
por Jorge B S•
30 de jun de 2020
Some information was really difficult to understand.
por Ahmad I B•
31 de jul de 2020
Loved Every bit of it. Looking forward to get more
por David E L•
12 de out de 2021
6 de mai de 2019
por flyhigher Y•
5 de jul de 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.
por Metehan S•
10 de mai de 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 .
por Karim I•
24 de jan de 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.
por ARTEM B•
21 de set de 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.
por Salma S L•
26 de mar de 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
por Mustafa P•
25 de jan de 2021
More help should be provided by better lectures and more explanation on the projects.
por Wentao T•
17 de mai de 2020
too hard, and the data is not good
por Bourama T•
22 de jun de 2022
por PRATIK W•
24 de ago de 2020
The coding part for each assignment should be explained in more detail