Learner Reviews & Feedback for Visual Perception for Self-Driving Cars by University of Toronto
About the Course
introduce you to the main perception tasks in autonomous driving, static and dynamic object detection, and will survey common computer
vision methods for robotic perception. By the end of this course, you will be able to work with the pinhole camera model, perform intrinsic and
extrinsic camera calibration, detect, describe and match image features and design your own convolutional neural networks. You'll apply these
methods to visual odometry, object detection and tracking, and semantic segmentation for drivable surface estimation. Thes...
Top reviews
AQ
Feb 27, 2020
The course has proved to another milestone in furthering my understanding of robotics, computer vision, machine learning and autonomous driving vehicles.
HS
Nov 7, 2020
Really really great course. I would like to work with Prof.Waslander at any project. I will advise this course to anyone interested. Thanks Coursera!
76 - 86 of 86 Reviews for Visual Perception for Self-Driving Cars
By Marco
•Jul 31, 2020
Please make sure the syntax is consistent. One thing I remember was a c_u instead of u_c. I feel sometimes that the explanation in the assignments can be more specific as it is otherwise a lot of guessing or extra learning.
By Eric J
•Dec 14, 2021
Liked the overarching themes and overall content of the course. Tuning the various OpenCV algorithms was unintuitive and not discussed in the course. Discussion forums are your friend.
By Sen Y
•Jan 12, 2020
I feel disappointed. Programming assignments are neither for 2D object detection nor for semantic segmentation.
By Levente K
•Mar 25, 2019
Good intro for those with not much experience w/ image processing/computer vision w.r.t. autonomous driving.
By Artod
•Sep 23, 2021
The final assignment in this course is at least well designed compared to previous courses.
By OMKAR K 1
•Jun 30, 2020
The range of topics was good but it would have been better if they were explained more.
By Yan X
•Dec 23, 2020
The content is good, project can be more complicated. One thing I have to complain is the course is lacking support. Specially the common problems about course content and technical issues are long waiting for answers. This will make learners feel really frustrated.
By Metehan S
•Jun 20, 2021
If you are not already familiar with NN, ML areas and image processing , just by watching videos ,it will be hard to pass this course. For a person who doesn't have enough time to search and understand deeply , this course will be difficult !
By Kasra D
•May 12, 2021
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.
By Mathew S
•Apr 24, 2022
The course was fine till the where for the final assignment, it kept returning a compile error when submitting the solution. There were several students struggling with the issue going back 6 months to a year.
By Vishwaswaroop B
•Dec 30, 2021
Just annoying theory bits, with no practical coding examples