Skydio, Inc.

Hema Koppula

Abraham Galton Bachrach

Adam Parker Bry

Hayk Martirosyan

Matthew Joseph Donahoe

Saumitro Dasgupta

Alex Kendall

Austin Stone

Systems and methods are disclosed for tracking objects in a physical environment using visual sensors onboard an autonomous unmanned aerial vehicle (UAV). In certain embodiments, images of the physical environment captured by the onboard visual sensors are processed to extract semantic information about detected objects. Processing of the captured images may involve applying machine learning techniques such as a deep convolutional neural network to extract semantic cues regarding objects detected in the images. The object tracking can be utilized, for example, to facilitate autonomous navigation by the UAV or to generate and display augmentative information regarding tracked objects to users.

Object tracking by an unmanned aerial vehicle using visual sensors

Growing community of inventors

Palo Alto, CA, United States of America

Hema Koppula