Unmanned aerial vehicle cluster visual navigation task coordination method and system

Abstract

The invention provides an unmanned aerial vehicle cluster visual navigation task coordination method and system based on semantic text transfer. The method comprises the following steps of: determining the number of unmanned aerial vehicles in an unmanned aerial vehicle cluster and building task-oriented visual navigation; determining task division of each unmanned aerial vehicle; acquiring visual navigation information by each unmanned aerial vehicle by virtue of vehicle-mounted vision sensing equipment and/or acquiring video image information required by the visual navigation from other unmanned aerial vehicles or equipment by adopting a communication manner, and carrying out fusion processing in vehicle-mounted image understanding equipment to generate a semantic text file; compressing and sending the semantic text file to the unmanned aerial vehicle of a receiving party by the unmanned aerial vehicle of a sender; and fusing information obtained by the unmanned aerial vehicle of the receiving party according to received compressed information to generate a required visual navigation flying control instruction. The unmanned aerial vehicle cluster visual navigation task coordination method and system disclosed by the invention can be used for effectively reducing information transmission quantity in unmanned aerial vehicle cluster coordination visual navigation and are good in real-time performance, thus being an effective technology for realizing unmanned aerial vehicle cluster visual navigation task coordination.

Description

technical field [0001] The invention relates to the technical field of unmanned aerial vehicle navigation, in particular to a collaborative method for visual navigation tasks of unmanned aerial vehicle clusters based on semantic text transmission. Background technique [0002] In the visual navigation of drones, there are many problems such as the need for many sensing devices, the large amount of visual information data, and the high real-time requirements for data fusion processing. Due to the gradual miniaturization of UAVs, which have the characteristics of limited carrying capacity, limited information processing capacity, and limited energy resources, the collaborative visual navigation of multiple UAVs has become an important development trend. In order to achieve the coordination of visual navigation tasks, the processing and effective application of large-scale visual information has gradually attracted people's attention, and the information transmission between mu...

AI Technical Summary

Problems solved by technology

[0004] In order to reduce the transmission volume of image data information and video stream information, there have been a lot of research results in information coding and decoding, information compression, information modulation, etc., but the transmission is basically based on pure video image data, and the transmission volume is relatively large.

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