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Learner Reviews & Feedback for Visual Perception for Self-Driving Cars by University of Toronto

4.7
stars
410 ratings
57 reviews

About the Course

Welcome to Visual Perception for Self-Driving Cars, the third course in University of Toronto’s Self-Driving Cars Specialization. This course will 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. These techniques represent the main building blocks of the perception system for self-driving cars. For the final project in this course, you will develop algorithms that identify bounding boxes for objects in the scene, and define the boundaries of the drivable surface. You'll work with synthetic and real image data, and evaluate your performance on a realistic dataset. This is an advanced course, intended for learners with a background in computer vision and deep learning. 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)....

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.

BS
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!

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26 - 50 of 56 Reviews for Visual Perception for Self-Driving Cars

By Diego A V G

Apr 3, 2020

It was very challenging and worthy for me. An amazing way to learn very powerful skills.

By MIHIR R J

Jun 7, 2020

Very difficult course compared to the previous two courses but learning was fun.

By Paulo E R J

Sep 15, 2020

It was a really hard course, but i've learned a lot!

By River L

Jun 22, 2019

I had a great time taking this course. Thank you!

By KOLLEPARA S N M K

Aug 6, 2020

Feeling very good to learn this entire course

By PAMARTHI K

Oct 5, 2020

GOOD to providing such a wonderful courses

By Miguel

May 9, 2019

Excelent Course, extremely recommended.

By Anditya A

Jul 23, 2020

some of the notebooks return error

By Huang C

Mar 16, 2020

Great course, I learn a lot!

By Daniele C

Jun 19, 2020

Really a top level course!

By UMAR T

Mar 3, 2020

Excellent course material

By Gireesha H M

Jun 10, 2020

Very very informative.

By PAPPU S V T

Nov 13, 2020

Great Experience

By Jaswanth N

Aug 14, 2020

Excellent course

By Vicente R

Sep 2, 2020

Great course!

By anusha m

Aug 2, 2020

good course!

By Raul V N

Oct 1, 2020

MUY BUENO

By Matías F

Jan 18, 2021

amazing!

By Jeff L J 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 Balasubramanyam P

May 9, 2020

good

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.