Created by:  University of Pennsylvania

  • Kostas Daniilidis

    Taught by:  Kostas Daniilidis, Professor of Computer and Information Science

    School of Engineering and Applied Science

  • Jianbo Shi

    Taught by:  Jianbo Shi, Professor of Computer and Information Science

    School of Engineering and Applied Science
Basic Info
Course 4 of 6 in the Robotics Specialization.
LevelIntermediate
Commitment4 weeks of study, 3-5 hours/week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.3 stars
Average User Rating 4.3See what learners said
Syllabus

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Coursework
Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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Creators
University of Pennsylvania
The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.
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Ratings and Reviews
Rated 4.3 out of 5 of 219 ratings

I give it 4 stars because the material is very interesting and the Home works are pretty cool. Some of the lectures and slides aren't so clear. They cover a huge amount of material which, while a bargain, is also more work than expected. It's tough material! I'm happy I took the class and finished.

Course is unusually difficult compared to the others in the series. You'll learn plenty of stuff, though, which is useful not just in robotics itself but many other applications with a mobile camera (such as stitching panoramas taken with your phone, or producing CGI).

The content is not very easy to understand because the lecture speaks very fast and the document is not very sufficient. But in all, the content is good, help me with my research.

This course is definitely worth learning if you are interested in computer vision or robotics perceptions! There are some minor flaws in the lectures slides, but it doesn't seriously effect the learning experience. I would recommend this course to people who have some basic knowledge about computer vision (e.g. camera calibration, coordinate transformation, affine/rigid transforms, linear solution of structure from motion). Otherwise, the latter part of this course could be a bit difficult.