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學生對 多伦多大学 提供的 Visual Perception for Self-Driving Cars 的評價和反饋

4.7
419 個評分
57 條評論

課程概述

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)....

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AQ
2020年2月27日

The course has proved to another milestone in furthering my understanding of robotics, computer vision, machine learning and autonomous driving vehicles.

BS
2020年11月7日

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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51 - Visual Perception for Self-Driving Cars 的 56 個評論(共 56 個)

創建者 Yogesh C

2020年4月1日

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.

創建者 Marco

2020年7月31日

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.

創建者 Sen Y

2020年1月12日

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

創建者 Levente K

2019年3月25日

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

創建者 Omkar K

2020年6月30日

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

創建者 Yan X

2020年12月23日

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.