US US2025342690A1

COLLABORATIVE INFERENCE BETWEEN CLOUD AND ONBOARD NEURAL NETWORKS FOR UAV DELIVERY APPLICATIONS

Abstract

[0000] A method of collaborative analysis of a ground area by UAV delivery service includes acquiring first and second aerial images of the ground area. The first and second aerial images include depictions of objects at the ground area. A query including an encoding of the first aerial image is transmitted to a cloud-based neural network trained to identify objects. A motion of the UAV is tracked between acquiring the first and second aerial images. A response is received from the cloud-based neural network identifying one or more of the objects depicted in the first aerial image. An onboard neural network disposed on board the UAV is used to identify the objects at the ground area. The onboard neural network receives the response, an indication of the motion tracked between the first and second aerial images, and the second aerial image as input when identifying the objects.

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