Automatic recovery method for an unmanned aerial vehicle

• US 9,207,681 B2
• Filed: 12/22/2010
• Issued: 12/08/2015
• Est. Priority Date: 12/14/2010
• Status: Expired due to Fees

• Current Assignee: Korean Air Lines Company Limited
• Original Assignee: Korean Air Lines Company Limited
• Inventors: Roh, Eun Jung
• Primary Examiner(s): Dager, Jonathan M
• Application Number:
  US13/993,920
• Publication Number:
  US 20130325222A1
• Time in Patent Office: 1,812 Days
• US Class Current: 1/1
• CPC Class Codes: B64C 39/024 of the remote controlled vehicle type, i.e. RPV
• CPC Class Codes: B64F 1/02 for arresting aircraft, e.g. nets or cables
• CPC Class Codes: B64F 1/027 using net or mesh
• CPC Class Codes: B64U 70/30 for capturing UAVs in flight by ground or sea-based arresting gear, e.g. by a cable or a net
• CPC Class Codes: G05D 1/0676 specially adapted for landing

Abstract

A vision-based automatic recovery method including steps of: generating a reference trajectory connecting an align point and a recovery point that is provided through wireless communication; taking an image containing a target through a front vision camera, determining a position and a size of the target in the taken image, and calculating a distance between the target and the unmanned aerial vehicle; generating an attitude command for changing a direction of the unmanned aerial vehicle so as to center the target in an image taken by the front vision camera; and generating a virtual trajectory by combining the generated reference trajectory and the generated attitude command, a weight of the attitude command being increased as the unmanned aerial vehicle moving from the align point to the recovery point.

Claims

1. A vision-based automatic recovery method using a reference trajectory for an unmanned aerial vehicle, the method comprising:

a reference trajectory generating step of generating, using a computer of the unmanned aerial vehicle, the reference trajectory connecting an align point and a recovery point that is provided to the unmanned aerial vehicle through wireless communication;

an image processing step of taking an image containing a target through a front vision camera embedded in the unmanned aerial vehicle, determining a position and a size of the target in the taken image through an image processing computer of the unmanned aerial vehicle, and calculating a distance between the target and the unmanned aerial vehicle;

an attitude command issuing step of generating an attitude command for changing a direction of the unmanned aerial vehicle so as to center the target in an image taken by the front vision camera; and

a virtual trajectory generating step of generating a virtual trajectory by combining the reference trajectory generated in the reference trajectory generating step and the attitude command generated in the attitude command generating step, a weight of the attitude command being gradually linearly increased in the virtual trajectory generating step as the unmanned aerial vehicle moves from the align point to the recovery point.

2. The method according to claim 1, wherein the reference trajectory is set up to pass one or more waypoints from the align point to the recovery point, in which a virtual reference trajectory for going from each waypoint toward one of the waypoints next to said each waypoint is generated before passing said each waypoint, and a guide control command is issued to follow the generated virtual reference trajectory based on information of embedded navigation equipment.

3. The method according to claim 1, wherein the attitude command comprises a command to calculate the azimuth angle ψ

_VPUCmd and the elevation angle θ

_VPUCmd between the position of the target and a center of the taken image, and change the direction of the unmanned aerial vehicle according to the calculated azimuth angle ψ

_VPUCmd and elevation angle θ

_VPUCmd.

4. The method according to claim 1, wherein the weight of the attitude command is linearly increased from 0% to 100% as the unmanned aerial vehicle moves from the align point to the recovery point.

5. The method according to claim 1, wherein the weight of the attitude command is increased using the distance between the target and the unmanned aerial vehicle calculated in the image processing step.

6. The method according to claim 1, wherein the generation of the virtual trajectory improves precision by following the reference trajectory through navigation information in an initial align section and generating an attitude command based on high-precise image information in a final section at the recovery point.

7. The method according to claim 1, wherein a distance that the unmanned aerial vehicle travels corresponds to a difference in the weight of the attitude command, a ratio of the difference in the weight to the distance being the same for any distance that the unmanned aerial vehicle travels between the align point and the recovery point.