Name: Visual Perception for Self-Driving Cars
Brand: University of Toronto
Availability: OnlineOnly
Rating: 4.7 (86 reviews)

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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

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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)....

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

创建者 Marco

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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.

创建者 Eric J

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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.

创建者 Sen Y

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Jan 12, 2020

I feel disappointed. Programming assignments are neither for 2D object detection nor for semantic segmentation.

创建者 Levente K

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Mar 25, 2019

Good intro for those with not much experience w/ image processing/computer vision w.r.t. autonomous driving.

创建者 Artod

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Sep 23, 2021

The final assignment in this course is at least well designed compared to previous courses.

创建者 OMKAR K 1

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Jun 30, 2020

The range of topics was good but it would have been better if they were explained more.

创建者 Yan X

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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.

创建者 Metehan S

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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 !

创建者 Kasra D

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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.

创建者 Mathew S

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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.