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學生對 多伦多大学 提供的 Motion Planning for Self-Driving Cars 的評價和反饋

278 個評分
51 條評論


Welcome to Motion Planning for Self-Driving Cars, the fourth course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the main planning tasks in autonomous driving, including mission planning, behavior planning and local planning. By the end of this course, you will be able to find the shortest path over a graph or road network using Dijkstra's and the A* algorithm, use finite state machines to select safe behaviors to execute, and design optimal, smooth paths and velocity profiles to navigate safely around obstacles while obeying traffic laws. You'll also build occupancy grid maps of static elements in the environment and learn how to use them for efficient collision checking. This course will give you the ability to construct a full self-driving planning solution, to take you from home to work while behaving like a typical driving and keeping the vehicle safe at all times. For the final project in this course, you will implement a hierarchical motion planner to navigate through a sequence of scenarios in the CARLA simulator, including avoiding a vehicle parked in your lane, following a lead vehicle and safely navigating an intersection. You'll face real-world randomness and need to work to ensure your solution is robust to changes in the environment. This is an intermediate course, intended for learners with some background in robotics, and it builds on the models and controllers devised in Course 1 of this specialization. To succeed in this course, you should have programming experience in Python 3.0, and familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses) and calculus (ordinary differential equations, integration)....



Feb 05, 2020

The course is very good for the basic knowledge of self driving. There are a lot of good examples of different parts. I have learned a lot from it. Thank you for your excellent job!


Sep 14, 2019

I think it is one of the best courses for learning the motion planning algorithms for Autonomous driving. The concepts are well explained with lots of examples.


26 - Motion Planning for Self-Driving Cars 的 50 個評論(共 52 個)

創建者 Jayrajsinh V P

Jul 21, 2020

really good course. explained every clearly. Thanks for such a great course.

創建者 Jianglong T

Oct 12, 2020

it's very good experience , course desgin for new start.

highly recommend

創建者 Alejandro

Aug 05, 2020

excellent course, just for the final project I was expecting a harder one


Jan 19, 2020

Amazing journey came to an end. Than you Prof Waslander and Prof Kelly.

創建者 Ramakrishnan K

Jul 04, 2020

Exceptional work done by both the professors. Really loved the course

創建者 UMAR T

Mar 05, 2020

excellent course and instructors, challenging assignment


Oct 05, 2020

Thank you Coursera for offering such wonderful courses

創建者 Vlad

Apr 07, 2020

intensive, with deep dive into practical details

創建者 Omar E A

May 17, 2019

very interesting course. highly recommended

創建者 Wei H

May 08, 2019

It is a very nice and meaningful course.

創建者 Abhijit

Jun 12, 2020

It was an amazing course!

Learned a lot.

創建者 Liton S

Aug 02, 2020

Excellent and Practical Concepts


Jun 13, 2020

Quite Informative!

創建者 Anis M

May 24, 2020

simply , the best!

創建者 Ramyashree A H

May 30, 2020

Wonderful course

創建者 Soumyajit M

Oct 09, 2020

Great Course

創建者 Akib C

Aug 24, 2020

Thanks a lot

創建者 AmirHossein H P

May 09, 2019


創建者 Md. R Q S

Aug 21, 2020


創建者 Sean B

Oct 01, 2020

Excellent material and there is a ton of supplemental links to check out. Many of the assignments do not have intermediate checks so debugging is a challenge. Also there is very little active support, there aren't any instructors active in the forums currently so I had to rely on old discussion posts. Still, I made it through with a large new skill set to show for it.

創建者 陈然

Jul 02, 2020

Although it took me a long time to finish the Programming Assignments, somehow i feel its not hard enough. LOL.

創建者 吕吉冬

May 08, 2019

Too many errors in slides and a little bit easy.

創建者 Igor S

Nov 06, 2019

Good lectures, but badly prepared assignments.

創建者 Dane R

Aug 29, 2020

The material covered was good, and the supplemental materials are always helpful to guide those that want to learn more (I am a huge fan of these references being provided, even if we have to hunt down a PDF).

I think this course was missing more coding exercises though. This is a deep subject, and a critical one in the AV world, so I'm very disappointed that there weren't more of these to illustrate how to solve some common motion planning problems.

The final project is also very weak. I understand that motion planning is very complex and involves a lot of math (making it difficult to create an assignment that isn't overwhelmingly difficult), but the final assignment is full of hand-holding, making already easy tasks trivial. Most of the interesting parts are already done for you, so I didn't have to think about motion planning at all. On top of that there is an error in the Coursera-provided code which students have pointed out a year ago, yet still exists. Fix this!

I think this course is worth doing if you are pursuing the Self Driving Car curriculum, and it has some solid information in it, but just don't expect to get rich coverage. The first 3 courses in the Self Driving Cars curriculum were much better.

創建者 Shaun B

Aug 27, 2020

I wish there were more coding assignments in weeks 1-6. I also wish that the final assignment had more code for us to write. For example, has <5 lines of code to be written.