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VERY WELL EXPLAINED

Amazing explanation

its a good course

it was amazing

It was hard

Was good !

Amazing

good

good

nice

I think the first course provides a great overview of autonomous vehicles and what you may need to know if you want to work in this industry. As a complete beginner in AV, I learned a lot about both the hardware and software sides of AV development and the interviews of various professionals in the AV industry were very interesting. It does cover many topics in broad strokes, so while the course description may say it takes about 40 hours to complete this course, expect to spend at least double

Challenges:

(1) This course assumes you have more than a basic understanding of college-level math, physics and engineering (at least you have to know the classical control theory) and Python/familiarity with using a command line environment. Without these, you won't be able to complete the course.

(2) For me, I had to read on the side (books, internet searches, and Youtube) to understand each module better in order to be able to pass the quizzes and complete the programming assignments. The videos are a great overview but it doesn't provide a lot of details while the quizzes/programming assignment require that you mastered the knowledge.

(3) Lack of support. I signed up for this knowing this is a relatively cheap online course and there will be no real support. But as I was doing the final programming assignment and using end-of-life libraries the assignment requires, I didn't know if anybody else has successfully finished the assignment recently or I was bound to fail. The discussion forum is great, but it's not very active, and the way the forum dashboard is built, it's hard to search for the most recent posts.

AV in and itself is a challenging tech that marries several science/math disciplines, so this can't be an "easy" or "entry" thing to study. However, I wish the first course (out of 4) was more maneageable. Having that said, if you have some knowledge in Math and Python and are interested in getting into AV, I highly recommend this course!

The knowledge about how to implement a PID controller with the high level and low-level controller could not be mentioned enough because there was no exact knowledge about implementing an engine and throttle graph in real applications.

The instructors seemed to want nonlinear MPC controller for the lateral control so that I really hardly worked on to analyze and implement the nonlinear MPC controller but in fact, there is no requirement to implement nonlinear MPC.

Otherwise, the course is really awesome to understand the motion dynamics of a car with an internal combustion engine. Now, I am able to implement both the longitudinal and lateral controller for the car.

While the course content is good, it is skinny and it leaves a lot to be expected from the learner. That is ok if one is on the campus and there are people you can talk to and ask questions from the teaching assistant staff. Support for this course on the forums is non existent and expecting students to jump into CARLA and write a simulation loop is quite a leap. Especially when debugging CARLA is next to impossible since putting a breakpoint inturn breaks the connection to the server. The course requires way more smaller steps before throwing the student in the deep end.

Overall a great introduction course. For those entering the field, it gives a nice high-level view of what particular aspect of the self-driving world you might want to focus on or specialize in. It also gives you a modest intro to the Carla simulator. I took 2 stars off as the challenges in the course were less to do with innovation and more to do with navigating a world of notation inconsistencies, python modules being outdated/not supported as well as mismatch between the theory in lecture notes vs assignment expectations.

Most of the course was easy to follow and easy to understand. But it requires sometimes additional knowledge of control systems, functional safety and python programmign skills.

The programming assignments are quite tricky and the explanations are not really godd enough to understand the framework (e.g. unprecise definition of the waypoints array, the coordinate system, etc.) without spending extra effort on this. Especially to complete the final exam, a lot of effort has to be spend to get to know environment.

The theory part of the course is good. But the practical part is non-existent until module-4. That too, a lot comes too quickly. Frequent in-course quizzes are too few, several lessons get tested at the end of the week by then most of it is forgotten.

Notes 5-stars

Slides 5-stars

Delivery 5-stars

Accuracy of content 5-stars

Worse than expected. I learn something, of course, but I was expecting to really learn many things. The assignments are not teachable and I learnt very little with them, but I spent lot of time.

Not much help is provided in the forums by the instructors for passing the tedious assignments.

Lots of useful information to learn in this course. However, the educational approach used isn't very efficient and you encounter a good number of mistakes or misorganisation, even after years of students signaling them.

Programming assignments were not structured well. Also lectures only cover a few amounts of details. Overall, the course is good to get an approach to self-driving cars. Thank you.

Informative but not much value addition in the post-covid era, in a somewhat hyped industry such as autonomous vehicles

should provide detail about how to implement programming in this course assignments

The Explanation is very basic and does not cover the assignments at all

Should have added modelling exercises after each module.

the tutor voice wasn't audible rest of them are good.