Great course! Ilove it and enjoy all these learning and coding procedures.

Wow!. Thanks a lot to Coursera for offering. Too Good

amazing course, thanks for providing

Course content was good to understand the basics of self driving cars but I felt some more topics should have been covered and in some more depth, that would have helped in solving the final assignment. Supplementary reading material was good but it would have been better if the concepts were taught more in depth in the videos specially weak 6. Also it seams like the answer to few questions in the weekly assignment has some discrepancies, sometimes it looked like you have to select the wrong answer (as taught in lecture) to get the marks.

On the plus side, the course surveys of topics for automatic driving that are a challenge to find well presented elsewhere. The material presented is interesting and well summarized. The negative is that the lectures are extremely short. Worked problems aren´t covered in the lectures or the readings, and insight into the topic seems to have been omitted. (One example: the gear ratio amplifies torque but reduces rotational speed, so that the overall power is constant.) Imagine what they could teach with 15 minutes instead of seven! Further, why aren't the lecture notes included anywhere in the reading. It makes it hard to refer back to them if you have to search a video instead of a powerpoint.

The production quality is professional, but given how thin the content often is, I would prefer they wrote on a white board and filmed using a camera phone, yet delivered more content to the current production.

Finally, I feel I spent more time learning to install the "right" version of python than I did how to control an autonomous vehicle. The reason I mention this is that Python has progressed, but the notes for installation seem to be static. In a regular college course, the course usually improves with the repeating of it, but this course seems frozen in time.

Great content, but poorly designed exercises. If it wasn't for the generous people in the discussion forum, this would have been impossible to be solved. The content was relatively easier than the exercises themselves and the amount of python programming experience is much higher than was stated.

exceptionally good course to get introduced to the subject - Self-Driving Cars, which is going to be the game changer of the decade. The course is useful for the people who are working in Automotive industry and/or from Electronics/Mechanical related background

the best of its kind course. The quizzes, CARLA simulator and the assignments were extraordinary. Very well outlined & was well paced as well.

Two minor feedback/improvement : 1) easy concepts you can speed-up, which you are already doing it, but for the tough concepts - just slow down a little with more explanations (2) connecting the concepts from the previous lesson to the next lesson and the overall summary could be briefed with a diagramatic representation (like e.g. mind-maps,etc... i have made one for myself :-) )

Kudos to University of Toronto, Professor Steven and Coursera . I am very happy to be - part of this great program/course. :-)

Very nicely compiled introduction.Apart of the safety and security aspects, the whole controlling subject was completely new to me. The possibility to get such a smooth introduction to the dynamic modeling and controlling topics together with the programming task on a realistic problem is very important for further learning and understanding. Even though a real self-driving car would use much more complex and detailed models, the experience to observe that a self-developed very simple controller implementation already works quite well is very motivating. Furthermore, providing a starting point together with additional well chosen supplementary material encourages to dive deeper into those topics.

This course was actually good, Initially i thought it was just a boring theoratical course where the content was not important, but later on, it became very clear why all the topics were taught in that way. I guess I had few misconception regarding the tech involved in this space. But this course helped me clear those doubts. I got overexited with RL being hyped around Self Driving Cars, I forgot that there are methods much better and more reliable than reinforcement learning, In other words, I was moving way too many steps ahead without even thinking about the base, I should thank you for bringing me back to my senses and take it slowly with the right path.

Thank You

Best course ever I've learnt so far on Coursera. It gave me a mountain of essential and crucial knowledge for my first step into the autonomous-car driving. Not only provide detailed and well-prepared lectures, but it also introduce the real task in this industry and give you a chance to apply all you learnt into hands-on projects, so empirical and challenging at least with me. Then if you are attracted by the world of self-driving car, this course is the top-prior and the first thing when you have the intension to kick-off your career, It will worth your time!

It's a really great learning experience. Coding or principles were not difficult as they are well-organized and resource-rich. I have a dream of mobile environment products that are completely independent from the environment by completing passive autonomous vehicles and technologies while traveling between the US and Korea. It seems to be the driving force behind the realization of that dream. We will continue to learn more courses and expand our future career path. Thank you to the professors and developers who designed and prepared these courses.

Loved the course. I learned a lot. It strikes a good balance between overview and depth, although one can always go a little bit deeper - e.g. a few more lectures on the lateral control - specifically on MPC. Loved the programming assignments, they really solidified the understanding of the concepts. Encourage everyone to dig into the details of the data being spit out in the data structures so you can follow along the intermediate steps in the equations. Graphing them in Excel and make your own small simulation was very helpful. Nicely done.

This is definitely the best course I have in the field of self-driving cars. Thanks to all the teachers, students and engineers who set up these courses for us. Thank you! !

The course covers almost all aspects of driverless car kinematics, and all programming projects have their own value for students, allowing them to gain a deeper understanding of classroom knowledge.

The people who paid for this course once again pay my high tribute. thank you all!

Thank you!!! This course is worth 100% satisfaction. 5 Stars for this amazing class.

Great course ! I really liked studying this subject, it will be a major area for mechanical and electric engineers in the future. I have only one complaint, I struggled a lot with Python and py libraries installation issues that occured specially due to the specifics versions that goes with CARLA, I would recommend you to make it available within the Coursera files. I really enjoyed the course though, definitly made me interested on continuing this specialization and maybe even work with self driving cars in the future.

The course in general is very concise, organized and objective! Although I have knowledge on classic control design and embedded software development, the lateral controller and the python programming were something completely new for me and I really enjoyed working on that. For those who are looking for challenges, this course certainly should be taken into account! I hope to return to the next course of the specialization soon. Best regards and congratulations for the University of Toronto and the Coursera!

One of the best structured courses on Cousera. Standards are high, which is good. Probably not for everyone, but if you put in the time its very engaging and fresh compared to other specialization courses. There is so much information and explanations given by the instructors, which was extremely useful. The practical coding assignments are well thought out, and combined with the course materials, the learning was very effective. The final project with Carla simulator is actually pretty good.

My god, this course is very challenging, thankfully I took a robotics course in uni and it helped me get through this. This course has got great details, developing from a simple bicycle model and adding complexity onto the basic model. Really interesting and I could follow along, the programming assignments are the most useful aspect of this course, I had to rewatch lectures and take notes to fully understand what is going on and complete the assignments. Recommended 10/10

Why can't all other universities provide such a structured course for their students. This shattered my preconceptions about online courses. The course is as hard as, if not harder than a regular classroom based courses with added flexibility and revision. I hope the governments of countries (especially developing) could provide subsidies or even better, discounts from coursera itself for poor yet talented students there.

I first started this course without much knowledge in this field and I just wanted to explore the contents. After finishing it, I really appreciate this experience and learnt alot from it, which entourages me to continue the specialization. The instructor was really great in explaining the concepts. The course is well organized, and the assignments/quizzes are well-designed to boost the learning process.

This course gives a detailed overview that enables me to get quickly but based on a good foundation and understanding into the concepts of self driving cars starting from the motivation and categories of the autonomy system going through the safety aspects and commonly used frameworks and finally a hands on experience of the lateral and longitudinal vehicle control using Carla Simulator.

This is one of the best courses i have made in Cousera. The introduction and explanation of the subjects are al well done, the programming assignment directly apply the concepts learned and the normal quizzes are very attached to details. Also, the Professor is able to transmit everything with a good flow, keeping you interest for the courses to come.

A great introductory course! It helped me to overview the very basic concepts of self-driving vehicle software architectures. Also, the programming assignments are very relevant and essential for making a vehicle moving in real life. CARLA, which the final assignment is related to, is also a recent simulator aiming for autonomous vehicle development.

This was a very inspiring yet educational course on autonomous vehicles and I am now familiar with the basic coding skills and programs associated with autonomous cars. I am very greatful to the university of toronto and all the professors who were apart of this course. Hoping to one day get into this industry and be apart of the future of Cars

Best Starting course in self-driving cars. This course is also helpful for those who are working in mobile robotics since this course can be used as a reference on how to formulate the problem statements and their solutions by modeling the kinematics and its implementation in simulation environments for testing.

Well structured - the course first gives a broad overview on the topic and then gets into more details when discussing models and control. The final assignment is excellent - bringing the discussed topics to life with the Carla simulator. The instructor seems excited about the subject and very clear.