PERSONAL SENSORY DRONES

• US 20160378109A1
• Filed: 06/25/2015
• Published: 12/29/2016
• Est. Priority Date: 06/25/2015
• Status: Active Grant

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Ekandem, Joshua, Moshkovitz, Ariel, Brown, Steve, Gaidar, Tamara, Raffa, Giuseppe, Anderson, Glen J., Durham, Lenitra M., Beckwith, Richard, Yuen, Kathy, Sherman, Jamie, Ben-Shalom, Omer, Healey, Jennifer, Govezensky, Yosi
• Granted Patent: US 10,694,155 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: B64U 2101/30 for imaging, photography or videography
• CPC Class Codes: B64U 2201/102 adapted for flying in formations
• CPC Class Codes: G05D 1/0027 involving a plurality of vehicles, e.g. fleet or convoy travelling fleet control of land vehicles from a control room G05D1/0297; traffic control systems for road vehicles G08G1/00; for marine craft G08G3/00; for aircraft G08G5/00
• CPC Class Codes: G05D 1/0038 by providing the operator with simple or augmented images from one or more cameras located onboard the vehicle, e.g. tele-operation images analyzed by a computer and used for automatic navigation G05D1/0246
• CPC Class Codes: G05D 1/005 by providing the operator with signals other than visual, e.g. acoustic, haptic
• CPC Class Codes: G08G 5/0013 with a ground station
• CPC Class Codes: G08G 5/0043 Traffic management of multiple aircrafts from the ground G08G5/003 takes precedence; data processing specially designed for resource management, e.g. scheduling or allocating time, human or machine resources G06Q10/06
• CPC Class Codes: G08G 5/0069 specially adapted for an unmanned aircraft
• CPC Class Codes: H04N 23/60 Control of cameras or camera modules
• CPC Class Codes: H04N 23/61 based on recognised objects
• CPC Class Codes: H04N 23/661 Transmitting camera control signals through networks, e.g. control via the Internet
• CPC Class Codes: H04N 23/695 Control of camera direction for changing a field of view, e.g. pan, tilt or based on tracking of objects
• CPC Class Codes: H04N 7/185 from a mobile camera, e.g. for remote control

Abstract

Various systems and methods for personal sensory drones are described herein. A personal sensory drone system includes a drone remote control system comprising: a task module to transmit a task to a drone swarm for the drone swarm to execute, the drone swarm including at least two drones; a transceiver to receive information from the drone swarm related to the task; and a user interface module to present a user interface based on the information received from the drone swarm.

Claims

1. A personal sensory drone system, the system comprising:

a drone remote control system comprising;

a task module to transmit a task to a drone swarm for the drone swarm to execute, the drone swarm including at least two drones;

a transceiver to receive information from the drone swarm related to the task; and

a user interface module to present a user interface based on the information received from the drone swarm.

2. The system of claim 1, wherein the drone swarm includes at least one aerial drone and at least one terrestrial drone.

3. The system of claim 1, wherein the task comprises an assisted navigation task, and the transceiver is to:

transmit a set of parameters to the drone swarm to configure the assisted navigation task.

4. The system of claim 3, wherein the set of parameters includes user preferences defining a set of hazards to avoid while traversing a path, and wherein the drone swarm scouts the path to identify a hazard from the set of hazards.

5. The system of claim 1, wherein the task comprises an inspection task, and wherein the user interface module is to:

transmit an object of interest to the drone swarm,

wherein the information received from the drone swarm includes visual data, audio data, tactile data, or olfactory data.

6. The system of claim 5, wherein to transmit the object of interest to the drone swarm, the user interface module is to:

transmit an image of the object of interest to the drone swarm, wherein the drone swarm uses image analysis to identify the object of interest in a field of view of a camera mounted on at least one drone of the drone swarm.

7. The system of claim 5, wherein the information received from the drone swarm includes visual data from multiple drones in the drone swarm, and wherein the user interface module is to:

composite the visual data from the multiple drones in the drone swarm to produce composited visual data; and

present the composited visual data to the user.

8. The system of claim 7, wherein to present the composited visual data, the user interface module is to present multiple views of the object of interest from the respective multiple drones in the drone swarm.

9. The system of claim 7, wherein to present the composited visual data, the user interface module is to present an overlay of image data from the multiple drones.

10. The system of claim 7, wherein to present the composited visual data, the user interface module is to build a three-dimensional model of the object of interest from the visual data provided from the multiple drones.

11. The system of claim 7, wherein to present the composited visual data, the user interface module is to present a view of the object of interest that corresponds to a viewing perspective of the user.

12. A method of implementing a personal sensory drone system, the method comprising:

transmitting from a drone controller to a drone swarm, a task for the drone swarm to execute, the drone swarm including at least two drones;

receiving information from the drone swarm related to the task; and

presenting a user interface based on the information received from the drone swarm.

13. The method of claim 12, wherein the task comprises an assisted navigation task, and the method further comprises:

transmitting a set of parameters to the drone swarm to configure the assisted navigation task.

14. The method of claim 13, wherein the set of parameters includes user preferences defining a set of hazards to avoid while traversing a path, and wherein the drone swarm scouts the path to identify a hazard from the set of hazards.

15. The method of claim 12, wherein the task comprises an inspection task, and wherein the method further comprises:

transmitting an object of interest to the drone swarm,

wherein the information received from the drone swarm includes visual data, audio data, tactile data, or olfactory data.

16. At least one machine-readable medium including instructions, which when executed by a machine, cause the machine to:

transmit from a drone controller to a drone swarm, a task for the drone swarm to execute, the drone swarm including at least two drones;

receive information from the drone swarm related to the task; and

present a user interface based on the information received from the drone swarm.

17. The at least one machine-readable medium of claim 16, wherein the task comprises an assisted navigation task, and the instructions further comprise instructions to:

transmit a set of parameters to the drone swarm to configure the assisted navigation task.

18. The at least one machine-readable medium of claim 17, wherein the set of parameters includes user preferences defining a set of hazards to avoid while traversing a path, and wherein the drone swarm scouts the path to identify a hazard from the set of hazards.

19. The at least one machine-readable medium of claim 16, wherein the task comprises an inspection task, and wherein the instructions further comprise instructions to:

transmit an object of interest to the drone swarm,

wherein the information received from the drone swarm includes visual data, audio data, tactile data, or olfactory data.

20. The at least one machine-readable medium of claim 19, wherein the information received from the drone swarm includes visual data from multiple drones in the drone swarm, and wherein the instructions further comprise instructions to:

composite the visual data from the multiple drones in the drone swarm to produce composited visual data; and

present the composited visual data to the user.

21. The at least one machine-readable medium of claim 20, wherein the instructions to present the composited visual data comprise instructions to present multiple views of the object of interest from the respective multiple drones in the drone swarm.

22. The at least one machine-readable medium of claim 20, wherein the instructions to present the composited visual data comprise instructions to build a three-dimensional model of the object of interest from the visual data provided from the multiple drones.

23. The at least one machine-readable medium of claim 20, wherein the instructions to present the composited visual data comprise instructions to present a view of the object of interest that corresponds to a viewing perspective of the user.

24. The at least one machine-readable medium of claim 19, wherein the information received from the drone swarm includes tactile data from at least one drone in the drone swarm, and wherein the instructions further comprise instructions to:

coordinate a tactile response with a wearable device being worn by the user to recreate a tactile feel of the object of interest.

25. The at least one machine-readable medium of claim 19, wherein the information received from the drone swarm includes olfactory data from at least one drone in the drone swarm, and wherein the instructions to present the user interface based on the information received from the drone swarm comprise instructions to present a representation of a smell corresponding with the olfactory data.