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.
- 5 stars59.84%
- 4 stars25.03%
- 3 stars7.55%
- 2 stars4.09%
- 1 star3.46%
It is hard course, thoroughly enjoyed it. Lessons on how to effectively use vanishing points was very useful.
Course is nicely organized and helps even a novice without much in depth knowledge of image processing to understand the concepts
This is quite challenging course. So far, this is the course with the largest amount of material, I wish the class will be split into two courses.
Interesting material, the last programming assignment was very challenging. Lots of topics covered, a good introduction.