SYSTEMS AND METHODS FOR DETERMINING PREDICTED RISK FOR A FLIGHT PATH OF AN UNMANNED AERIAL VEHICLE
Patent №
US 11,106,988
Granted
2021-08-31
Filed 2016
Owner
GOPRO, INC.
Lab
—
AI components
3
vision · kr · planning
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
15287710
This disclosure relates to systems and methods for determining predicted risk for a flight path of an unmanned aerial vehicle. A previously stored three-dimensional representation of a user-selected location may be obtained. The three-dimensional representation may be derived from depth maps of the user-selected location generated during previous unmanned aerial vehicle flights. The three-dimensional representation may reflect a presence of objects and object existence accuracies for the individual objects. The object existence accuracies for the individual objects may provide information about accuracy of existence of the individual objects within the user-selected location. A user-created flight path may be obtained for a future unmanned aerial flight within the three-dimensional representation of the user-selected location. Predicted risk may be determined for individual portions of the user-created flight path based upon the three-dimensional representation of the user-selected location.
AI classification
Ownership
GOPRO, INC.
assignment · 399620530
Assignors
GOHL, PASCAL, OMARI, SAMMY
On an employer assignment, the assignors are typically the inventors.