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学生对 University of Toronto 提供的 Visual Perception for Self-Driving Cars 的评价和反馈

4.7
582 个评分

课程概述

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)....

热门审阅

RB

Jan 12, 2020

I am really surprised at the depth of topics discussed. I believe i spent around 5-8 hours researching topics on ANN and Machine learning.

TI

Jun 4, 2020

although I have been working with object detection and image segmentation things but still alot of learning

筛选依据:

51 - Visual Perception for Self-Driving Cars 的 75 个评论(共 86 个)

创建者 Dhanush K N

Nov 14, 2021

super explination

创建者 P V

Nov 12, 2020

Great Experience

创建者 Jaswanth N

Aug 14, 2020

Excellent course

创建者 Vicente R

Sep 1, 2020

Great course!

创建者 sunil c

May 18, 2023

great course

创建者 anusha m

Aug 2, 2020

good course!

创建者 ILYESS D

Aug 5, 2024

good cours

创建者 guodaoyi

Aug 30, 2022

very good

创建者 Maxwell A

May 4, 2022

Excellent

创建者 Raul V

Oct 1, 2020

MUY BUENO

创建者 Matías F

Jan 18, 2021

amazing!

创建者 Jeff D

Nov 28, 2020

Thanks

创建者 Chongyu Z

Oct 18, 2020

useful

创建者 Sruti B

Sep 2, 2019

Useful

创建者 Soumyajit M

Oct 7, 2020

Great

创建者 Md. R Q S

Aug 20, 2020

great

创建者 jyoti p p

Nov 19, 2024

good

创建者 V.HRUTHIK S

Nov 17, 2024

good

创建者 01fe21bec413

Mar 16, 2024

Good

创建者 Balasubramanyam P

May 9, 2020

good

创建者 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.

创建者 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.

创建者 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!

创建者 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.

创建者 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.