How can robots perceive the world and their own movements so that they accomplish navigation and manipulation tasks? In this module, we will study how images and videos acquired by cameras mounted on robots are transformed into representations like features and optical flow. Such 2D representations allow us then to extract 3D information about where the camera is and in which direction the robot moves. You will come to understand how grasping objects is facilitated by the computation of 3D posing of objects and navigation can be accomplished by visual odometry and landmark-based localization.
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ROBOTICS: PERCEPTION からの人気レビュー
It is hard course, thoroughly enjoyed it. Lessons on how to effectively use vanishing points was very useful.
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.
For Computer Vision enthusiast who wants to learn about Multiple View Geometry, this is the best beginner course
very informative. the course is very demanding, due to very long lectures it is hard to stay in pace.