Learner Reviews & Feedback for Visual Perception for Self-Driving Cars by University of Toronto
About the Course
Top reviews
LK
Mar 24, 2019
Good intro for those with not much experience w/ image processing/computer vision w.r.t. autonomous driving.
PR
Dec 31, 2019
superb, the assignment was quite tough but the overall experience was amazing. thanks to instructors, TAs, Coursera, and fellow learners!
51 - 75 of 86 Reviews for Visual Perception for Self-Driving Cars
By Dhanush K N
•Nov 14, 2021
super explination
By P V
•Nov 13, 2020
Great Experience
By Jaswanth N
•Aug 14, 2020
Excellent course
By Vicente R
•Sep 2, 2020
Great course!
By sunil c
•May 18, 2023
great course
By anusha m
•Aug 2, 2020
good course!
By ILYESS D
•Aug 5, 2024
good cours
By guodaoyi
•Aug 30, 2022
very good
By Maxwell A
•May 4, 2022
Excellent
By Raul V
•Oct 1, 2020
MUY BUENO
By Matías F
•Jan 18, 2021
amazing!
By Jeff D
•Nov 28, 2020
Thanks
By Chongyu Z
•Oct 18, 2020
useful
By Sruti B
•Sep 2, 2019
Useful
By Soumyajit M
•Oct 7, 2020
Great
By Md. R Q S
•Aug 21, 2020
great
By jyoti p p
•Nov 19, 2024
good
By V.HRUTHIK S
•Nov 17, 2024
good
By 01fe21bec413
•Mar 16, 2024
Good
By Balasubramanyam P
•May 9, 2020
good
By Stavros G
•Jan 14, 2025
Overall it is an excellent course which gives an overview and a starting point at would be practitioners in the autonomous vehicles space, and particularly the computer vision aspect. However there are a few mistakes in the quizzes, which I also found out that have already been mentioned in the discissions, and should be fixed (Module 4 graded quiz - question 16 is impossible as an example). Finally, in the Visual Odometry graded lab, there shouldn't be a limit to submissions, as there isn't a provided ground truth. This severely detracts from the otherwise interesting and multi-faceted approach to the topic. Labs for Module 4, 5 and 6 could be interesting, however, I understand such labs belong more in a ML/DL or a computer vision course rather than a specialised one such as this.
By Kosinski K
•May 25, 2020
Thanks to this course I have gained a lot of knowledge related to visual perception. However, in contrary to 2 previous Self-Driving Cars courses, it has 2 main drawbacks which I cannot omit while writing the review:
1) Bad quality of PDFs - overlaping texts and graphics. Watching videos was sometimes the only way to quickly recall a content of presentation.
2) Poor preparation in the presentations for the project from week 2 combined with incomplete online documentation of OpemCV functions made this task pretty tedious and annoying. Moreover, a ridiculous limit of 3 submits per 8h for the mentioned task, which requires multiple parameters modifications.
By Subramanya B
•Dec 2, 2021
This course was the heaviest in terms of content taught. It was a fun experience nevertheless. Seeing colorful, correct outputs always cheers me up and so it did here as well:)
But a small glitch in the YAML output file format took up a little too much time at the end. Would really appreciate the course coordinators looking into this matter and making necessary amends as soon as possible.
Thanks!
By Yogesh C
•Apr 1, 2020
The overall course content, the video lectures and the quizzes are great but I feel that the programming assignment can have more clarifications. Finally, I also want to mention that I liked the instructors encouraging numerous other algorithms and approaches to solve the same problem. That way we can have a much clearer understanding of the pros and cons of them over one another.
By Leon C
•Nov 30, 2022
The course is very interesting and the final project is good, but the practice projects/labs have gaps in their
progression and solution which should have been fixed. Old discussion forums are a resource for resolving
those problems, but still leave gaps in understanding. It would be great if the labs could be updated.