IP Library Granted Patent US 10,421,543
Granted Patent B2
US 10,421,543 · App. 16/041,369 · Granted Sep 24, 2019

Context-based flight mode selection

Inventors: Ang Liu (Shenzhen, CN); Xiao Hu (Shenzhen, CN); Guyue Zhou (Shenzhen, CN); Xuyang Pan (Shenzhen, CN)
Assignee: SZ DJI TECHNOLOGY CO., LTD.
B64C39/024B64C19/00G05D1/0061G05D1/0088G05D1/0202G05D1/042G05D1/101G08G5/045B64C2201/127B64C2201/141B64C2201/145B64C2201/146
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Quick Facts
Patent No.
US 10,421,543
App. No.
16/041,369
Granted
Sep 24, 2019
Kind
B2
Abstract

A system for controlling an unmanned aerial vehicle (UAV) includes one or more processors configured to receive sensor data from one or more sensors carried by the UAV. The sensor data is indicative of at least a state of the UAV. The one or more processors are further configured to select a flight mode from a plurality of different flight modes based at least in part on the sensor data and effect operation of the UAV in accordance with a set of operating rules associated with the selected flight mode.

Claims (33)

1. A system for controlling an unmanned aerial vehicle (UAV), the system comprising:

one or more processors configured to:

receive sensor data from one or more sensors carried by the UAV, the sensor data being indicative of at least a motion state of the UAV;

determine the motion state of the UAV based on the sensor data, the motion state of the UAV including at least one of a velocity or an acceleration of the UAV;

select a flight mode from a plurality of different flight modes based at least in part on the motion state of the UAV; and

effect operation of the UAV in accordance with a set of operating rules associated with the selected flight mode.

2. The system of claim 1 , wherein the sensor data is indicative of an operational state of one or more components of the UAV and the operational state of the one or more components is indicative of: (i) whether the one or more components are malfunctioning, (ii) a power level of the one or more components, and/or (iii) a strength of signals received by the one or more components.

3. The system of claim 1 , wherein the sensor data is further indicative of a current environment of the UAV.

4. The system of claim 1 , wherein the set of operating rules are configured to control one or more components of the UAV.

5. The system of claim 1 , wherein the set of operating rules are configured to control a level of autonomy of the UAV.

6. The system of claim 1 , wherein the set of operating rules are configured to optimize a safety, a performance, or an application of the UAV.

7. The system of claim 1 , wherein the one or more processors are further configured to detect fault information based on the motion state of the UAV and wherein the flight mode is selected based on the detected fault information.

8. A method for controlling an unmanned aerial vehicle (UAV), the method comprising:

receiving sensor data from one or more sensors carried by the UAV, the sensor data being indicative of at least a motion state of the UAV;

determining the motion state of the UAV based on the sensor data, the motion state of the UAV including at least one of a velocity or an acceleration of the UAV;

selecting a flight mode from a plurality of different flight modes based at least in part on the motion state of the UAV; and

effecting operation of the UAV in accordance with a set of operating rules associated with the selected flight mode.

9. The method of claim 8 , wherein the sensor data is indicative of an operational state of one or more components of the UAV and the operational state of the one or more components is indicative of: (i) whether the one or more components are malfunctioning, (ii) a power level of the one or more components, and/or (iii) a strength of signals received by the one or more components.

10. The method of claim 8 , wherein the sensor data is further indicative of a current environment of the UAV.

11. The method of claim 8 , wherein the set of operating rules are configured to control one or more components of the UAV.

12. The method of claim 8 , wherein the set of operating rules are configured to control a level of autonomy of the UAV.

13. The method of claim 8 , wherein the set of operating rules are configured to optimize a safety, a performance, or an application of the UAV.

14. An unmanned aerial vehicle (UAV), comprising:

one or more sensors; and

one or more processors configured to:

receive sensor data from the one or more sensors, the sensor data being indicative of at least a motion state of the UAV;

determine the motion state of the UAV based on the sensor data, the motion state of the UAV including at least one of a velocity or an acceleration of the UAV;

select a flight mode from a plurality of different flight modes based at least in part on the motion state of the UAV; and

effect operation of the UAV in accordance with a set of operating rules associated with the selected flight mode.

15. The UAV of claim 14 , wherein the sensor data is indicative of an operational state of one or more components of the UAV and the operational state of the one or more components is indicative of: (i) whether the one or more components are malfunctioning, (ii) a power level of the one or more components, and/or (iii) a strength of signals received by the one or more components.

16. The UAV of claim 14 , wherein the sensor data is further indicative of a current environment of the UAV.

17. The UAV of claim 14 , wherein the set of operating rules are configured to control (i) one or more components of the UAV, or (ii) a level of autonomy of the UAV.

18. The UAV of claim 14 , wherein the set of operating rules are configured to optimize a safety, a performance, or an application of the UAV.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 20, 2018
From: LIU, ANG; HU, XIAO; ZHOU, GUYUE; PAN, XUYANG
To: SZ DJI TECHNOLOGY CO., LTD.
Reel/Frame 046417/0457 →
Continuity (5)
Continuation 15340404 · Nov 1, 2016
Continuation 15088645 · Apr 1, 2016
Continuation 14801640 · Jul 16, 2015
Continuation PCTCN2014086006 · Sep 5, 2014
Related Publication 20190047700A1 · Feb 14, 2019