IP Library › Granted Patent US 10,351,241
Granted Patent B2
US 10,351,241 · App. 16/004,064 · Granted Jul 16, 2019

Device and method for an unmanned flying object

Inventor: Antony Pfoertzsch (Bremen, DE)
B64C39/024B64C39/02B64D47/08G05D1/0094G05D1/101G05D1/12G06F3/017G06K9/00G06K9/0063B64C2201/024B64C2201/127B64C2201/14
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Quick Facts
Patent No.
US 10,351,241
App. No.
16/004,064
Granted
Jul 16, 2019
Kind
B2
Abstract

The present disclosure relates to an apparatus and a method for an unmanned flying aircraft, such as a drone. Sensor data of at least one imaging sensor and of at least one ranging sensor are received with a sensor interface and are supplied to a signal processing unit that is set up to compare the sensor data with reference data in order to detect at least one predefined object and/or to distinguish it from other objects and to determine the parameters of the detected or distinguished object. The parameters of the predefined objects are then output with an output interface.

Claims (45)

1. An unmanned flying aircraft, comprising:

an imaging sensor on the unmanned flying aircraft;

a ranging sensor on the unmanned flying aircraft;

a sensor interface configured to receive sensor data from the imaging sensor and the ranging sensor;

a memory configured to store reference data for a predefined object;

a signal processing unit configured to detect the predefined object based on a comparison between the reference data and the received sensor data, determine parameters of the predefined object relative to the unmanned flying aircraft, detect a movement pattern performed by the detected predefined object, and control the unmanned flying aircraft by the detected movement pattern; and

an output interface configured to output the parameters of the predefined object.

2. The unmanned flying aircraft of claim 1 wherein

the detected movement pattern represents a command to be executed by the unmanned flying aircraft, a variable value to be used by the unmanned flying aircraft, or a direction of flight for the unmanned flying aircraft.

3. The unmanned flying aircraft of claim 2 , further comprising:

a remote control configured to assign the movement pattern to the command, the variable value, or the direction of flight.

4. The unmanned flying aircraft of claim 2 wherein the command, the variable value, or the direction of flight represented by the predefined object is applied to another predefined object in response to the movement pattern being detected.

5. The unmanned flying aircraft of claim 1 wherein the signal processing unit is configured to set a resolution of the imaging sensor or a sampling rate of the ranging sensor based on one of the reference data and a performed action of the unmanned flying aircraft.

6. The unmanned flying aircraft of claim 1 wherein the signal processing unit is configured to search for the predefined object within another predefined object that was previously detected.

7. The unmanned flying aircraft of claim 1 wherein the imaging sensor is an infrared sensor for shooting images in an infrared range or a camera for shooting images in a visible light range.

8. The unmanned flying aircraft of claim 1 wherein the ranging sensor is a time-of-flight sensor, a lidar sensor, or a radar sensor.

9. The unmanned flying aircraft of claim 1 wherein the ranging sensor is a radar sensor having an electronically controllable radar beam.

10. The unmanned flying aircraft of claim 1 wherein

the signal processing device is configured to determine and output, via the output interface, a probability value for the predefined object,

the probability value indicates a reliability of the parameters of the predefined object,

the probability value indicates that the parameters are reliable when the probability value is at or above a threshold value,

the probability value indicates that the parameters are unreliable when the probability value is below the threshold value, and

the threshold value is set based on the reference data.

11. The unmanned flying aircraft of claim 1 wherein the parameters include a position of the predefined object, a distance between the predefined object and the unmanned flying aircraft, or a movement of the predefined object.

12. The unmanned flying aircraft of claim 1 wherein the signal processing unit is configured to distinguish the predefined object from other objects based on the comparison between the reference data and the received sensor data.

13. A method for an unmanned flying aircraft, comprising:

receiving sensor data from an imaging sensor on the unmanned flying aircraft and from a ranging sensor on the unmanned flying aircraft;

comparing reference data for a predefined object to the received sensor data;

detecting the predefined object based on the comparison of the reference data and the received sensor data;

detecting a movement pattern performed by the detected predefined object;

controlling the unmanned flying aircraft by the detected movement pattern;

determining parameters of the predefined object relative to the unmanned flying aircraft; and

outputting the parameters of the predefined object.

14. The method of claim 13 , further comprising:

receiving the reference data; and

storing the reference data in a memory.

15. The method of claim 13 , further comprising:

determining a probability value for the predefined object, the probability value indicating a reliability of the parameters.

16. The method of claim 13 , further comprising:

executing, by the unmanned flying aircraft, a command based on the detected movement pattern.

17. The method of claim 13 wherein detecting the predefined object includes:

determining contours of the predefined object;

determining a distance between the predefined object and the unmanned flying aircraft;

determining dimensions of the predefined object based on the contours and the distance; and

detecting the predefined object based on a comparison between the dimensions of the predefined object and the reference data.

Priority Claims (1)
DE 10 2015 122 183 · Dec 18, 2015 · national
Continuity (2)
Continuation PCTEP2016081700 · Dec 19, 2016
Related Publication 20180290750A1 · Oct 11, 2018
Cited By (1)
US 12,461,242