Dynamic geo-fence for drone

• US 10,083,615 B2
• Filed: 11/13/2017
• Issued: 09/25/2018
• Est. Priority Date: 11/25/2015
• Status: Active Grant

• Current Assignee: DoorDash, Inc.
• Original Assignee: International Business Machines Corporation
• Inventors: Chan, Yuk L., Gilbertson, Kyle E., Hogerty, Daniel F., Tedesco, Eileen P.
• Primary Examiner(s): EL CHANTI, HUSSEIN A
• Application Number:
  US15/810,712
• Publication Number:
  US 20180075755A1
• Time in Patent Office: 316 Days
• CPC Class Codes: B64C 39/024 of the remote controlled vehicle type, i.e. RPV
• CPC Class Codes: B64D 47/08 Arrangements of cameras
• CPC Class Codes: B64U 2101/60 for transporting passengers; for transporting goods other than weapons
• CPC Class Codes: B64U 2101/64 for parcel delivery or retrieval
• CPC Class Codes: B64U 2201/10 autonomous, i.e. by navigating independently from ground or air stations, e.g. by using inertial navigation systems [INS]
• CPC Class Codes: B64U 30/20 Rotors; Rotor supports
• CPC Class Codes: G05D 1/0011 associated with a remote control arrangement
• CPC Class Codes: G05D 1/042 specially adapted for aircraft
• CPC Class Codes: G08G 5/0013 with a ground station
• CPC Class Codes: G08G 5/006 in accordance with predefined flight zones, e.g. to avoid prohibited zones
• CPC Class Codes: G08G 5/0069 specially adapted for an unmanned aircraft

Abstract

Technical solutions are described for configuring a dynamic geo-fence includes receiving a plurality of data samples. The method also includes selecting, from the plurality of data samples, a selected data sample as a threshold. The method also includes configuring a geo-fence for a geographic area based on the selected data sample. The method also includes adjusting an operational characteristic of a drone while the drone is in the geographic area, where the operational characteristic is adjusted based on a configuration of the drone and the geo-fence.

Claims

1. A computer implemented method for configuring a dynamic geo-fence for a drone, the method comprising:

receiving a plurality of data samples comprising a plurality of audio samples captured by an audio capture equipment of the drone from respective distances, and a plurality of images captured by an image capture equipment of the drone from respective distances;

selecting, from the plurality of data samples, a selected data sample as a threshold;

determining audio attributes of the selected data sample from the plurality of audio samples, and determining image attributes of the selected data sample from the plurality of images;

configuring a geo-fence for a geographic area based on the selected data sample;

identifying a first set of operational characteristics of the drone, the first set being presently in use;

identifying a second set of operational characteristics, wherein audio attributes of an audio captured by the audio capture equipment using the second set are within a predetermined threshold of the audio attributes of the selected data sample, and wherein image attributes of an image captured by the image capture equipment using the second set are within a predetermined threshold of the image attributes of the selected data sample; and

adjusting the operational characteristics of the drone to the second set while the drone is in the geographic area associated with the geo-fence.