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Learner Reviews & Feedback for Motion Planning for Self-Driving Cars by University of Toronto

4.8
stars
453 ratings

About the Course

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)....

Top reviews

KN

Nov 30, 2020

If not online and self-paced, I would not have the courage to attempt this advanced-level Self-Driving Program. Thanks UoT and the instructors for offering such high-quality courses to the public. 👍😊

YD

Feb 4, 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!

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51 - 75 of 85 Reviews for Motion Planning for Self-Driving Cars

By Narmatha S

Apr 6, 2023

very informative and useful one

By Davood D

Dec 26, 2023

very great course. thank you

By VIPUL N

Nov 28, 2020

difficult but interesting

By ANUMALA S

Jun 4, 2021

course is exceptional

By Luis A C R

May 28, 2021

Excellent course!!

By MIHIR R J

Jun 13, 2020

Quite Informative!

By anis

May 24, 2020

simply , the best!

By Ramyashree A H

May 30, 2020

Wonderful course

By Soumyajit M

Oct 9, 2020

Great Course

By Akib C

Aug 24, 2020

Thanks a lot

By cheedella v k

Jan 29, 2023

Best Course

By Pavel S

Nov 24, 2023

Perfect!

By Vatsal S

May 13, 2022

loved it

By Matías F

Jan 18, 2021

amazing!

By Mohammadreza T F

Sep 21, 2022

awesome

By AmirHossein H

May 9, 2019

perfect

By Yusuf O Y

Dec 26, 2020

Thanks

By Jeff D

Nov 28, 2020

Thanks

By Md. R Q S

Aug 21, 2020

great

By 01fe21bec413

Mar 21, 2024

Good

By NADIKOTA R S S

Apr 3, 2022

good

By Miguel P M

Jan 16, 2021

The final project could've been a little shorter in terms of complexity and rather specific sub exercises regarding each module could've been planned. This is because most of the TODOs were pretty self explanatory and left little margin for putting hands on workin on path optimization, etc. I understand and agree this is very difficult to plan out, and I take away from this specialization a great deal, though!

By Sean B

Oct 1, 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.

By Artod

Sep 28, 2021

Honestly, I thought that AI methods are more involved in the motion planning for self-driving cars... About the course, the final assignment is super easy compared to previous assignments in the specialization.

By 陈然

Jul 2, 2020

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