學生對 多伦多大学 提供的 Introduction to Self-Driving Cars 的評價和反饋

A bit too fast sometimes.

Need more coding quiz

its a good course

it was amazing

It was hard

Was good !

Amazing

nice

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less to do with innovation and more to do with navigating a world of notation inconsistencies, python modules being outdated/not supported as well as mismatch between the theory in lecture notes vs assignment expectations.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.

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.

good stuff, but lacks real explanations

Excellent teaching but a bit slow

nice ,learnt many skills

Reached my expectations

This course is good for you if you already know the concepts and just want to review it. It's a terrible course if you don't know the concepts and want to learn from it. This is true for all courses in this specialization.