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Group Control Interaction Method for Unmanned Aerial Vehicles

An interactive method, UAV technology, applied in the field of human-computer interaction, can solve problems such as high learning costs, unorganized and displayed drone group information, and unnatural and intuitive human-computer interaction operations

Active Publication Date: 2020-04-28
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most of the existing drone interaction methods are remote control or graphical interactive interface, which cannot display the status information of large-scale drone clusters at the same time; not only that, but also accurately select specific drones that need to perform tasks among a large number of drones. UAV subgroups or individuals have certain difficulties; and the issuance of UAV mission instructions requires a lot of professional training and has a high learning cost
[0004] All in all, the traditional UAV human-computer interaction method cannot well meet the needs of the UAV swarm system. A large amount of information of the UAV swarm cannot be well organized and displayed, and the human-computer interaction operation is not natural and intuitive enough, requiring a lot of training. , and the interaction efficiency is low, with high interaction difficulty

Method used

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  • Group Control Interaction Method for Unmanned Aerial Vehicles
  • Group Control Interaction Method for Unmanned Aerial Vehicles
  • Group Control Interaction Method for Unmanned Aerial Vehicles

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Experimental program
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Embodiment

[0065] In this embodiment, an interactive method for UAV group control is provided, which is applied to human-computer interaction of UAV group system. In this embodiment, the virtual scene of the UAV swarm system is displayed by augmented reality technology, and the user obtains auxiliary information of the virtual scene while perceiving the real environment; the user uses gesture interaction to select a subgroup or individual in the abstract UAV group in the virtual scene, and is displayed The selected abstract UAV is highlighted; when it is necessary to control the mission of the selected UAV, use the gesture interaction method to set the projected map mission waypoints, areas or draw mission tracks in the virtual scene, and the corresponding mission Commands will be sent to the real drone swarm for execution.

[0066] like figure 1 as shown, figure 1 A system structure of a UAV-oriented group control interaction method in this embodiment is shown. The system of the UAV-...

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Abstract

The invention discloses a group control interaction method oriented to unmanned aerial vehicles. The method includes following steps: a virtual scene of an unmanned aerial vehicle group system is displayed through the augmented reality technology, and a user simultaneously senses a real environment and obtains auxiliary information of the virtual scene; the user selects a sub-group or an individual in the abstract unmanned aerial vehicle group in the virtual scene by employing a gesture interaction mode, and the selected unmanned aerial vehicle is displayed with high brightness; task control is performed on the selected unmanned aerial vehicle by employing the gesture interaction mode, and a projection map task waypoint and a region are set or a task track is drawn in the virtual scene; and a corresponding unmanned aerial vehicle task instruction is sent to the real unmanned aerial vehicle group for execution. According to the method, the interaction method applicable to the scene of agroup of unmanned aerial vehicles with a certain quantity is provided, the human-centered thought is realized, the method is natural and visual, the learning cost is reduced, and the interaction efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of human-computer interaction, in particular to a group control interaction method for unmanned aerial vehicles. Background technique [0002] Since September 18, 2015, 50 UAVs in the United States began to fly in groups; on November 7, 2016, 67 UAVs in China flew in groups; on January 21, 2017, 103 UAVs in the United States flew in groups; On January 27, 2017, the U.S. Defense Advanced Research Projects Agency (DARPA) announced the "Offensive Swarm Tactics" (OFFSET) project; on June 10, 2017, China successfully completed a cluster flight test of 119 fixed-wing UAVs . Research on UAV swarm systems has developed by leaps and bounds. Compared with the limited operating capability and operating time of a single UAV, the UAV group shows a group advantage in performance. The UAV fleet system with swarm intelligence can work together in complex environments to complete target tasks. [0003] Concomitantly, the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05D1/10
CPCG05D1/104
Inventor 张平陈晓丹杜广龙
Owner SOUTH CHINA UNIV OF TECH