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Update from Computer Vision

In the second year of development, the computer vision team is focused on two objectives. The first objective is to track the roombas reliably in real time; the second is to be able to localize the drone with respect to the grid. The team is currently training the open source tinyYOLO neural net to recognize roombas. A few reasons why the group decided to use tinyYOLO is that it is lightweight for a neural net, gpu optimized, runs at high fps, and is good for detecting objects from different angles. For the objective of localization, the computer vision team is currently working on a model that will take corners from multiple side cameras and transform them onto a virtual grid that would allow the calculation of drone position as well as Roomba positions.





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