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Unmanned aerial vehicle simulation video generation method

A UAV and video technology, applied in image data processing, 3D modeling, instruments, etc., can solve the problems of low construction efficiency of air-to-air UAV video data sets, and achieve the effect of reducing difficulty

Pending Publication Date: 2022-04-05
NAT INNOVATION INST OF DEFENSE TECH PLA ACAD OF MILITARY SCI
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method for generating UAV simulation video to solve the problem of low construction efficiency of the current air-to-air UAV video data set

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  • Unmanned aerial vehicle simulation video generation method

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Embodiment 1

[0039] Step 1. Use the 3D model to decompose the action of the drone into 31 action frames according to the degree of rotation, each degree represents a video frame, and set the action of the drone itself. Secondly, the pixel size of the drone is set at an interval of 10 pixels, the lower limit is set to 30×30 pixels, and the upper limit is set to 100×100 pixels, and a total of 8 types of pixel scales are obtained. Then, the vertical viewing angle of the drone is divided into 25 degrees looking down, 30 degrees looking down and 35 degrees looking down. Finally, the horizontal observation angle of the UAV is divided into 7 groups at intervals of 15 degrees, the minimum is 45 degrees for the left angle of view, and the maximum is 45 degrees for the right angle of view. Through the above four settings for the 3D model of the drone, the action sequences of the drone at different scales and angles are obtained, and the obtained template pictures are all set to a transparent backgro...

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Abstract

The invention belongs to the technical field of unmanned aerial vehicle vision, and provides an unmanned aerial vehicle simulation video generation method. Acquiring continuous action templates of the unmanned aerial vehicle at different angles and scales by using the three-dimensional model of the unmanned aerial vehicle, and constructing multi-scale and multi-angle unmanned aerial vehicle template data; a target detection simulation training data set for researching the state of the unmanned aerial vehicle is generated by adding and replacing background semantic information; background semantics of space-time continuous pixel offset are added to the continuous action template, and an action recognition training data set used for researching the attitude of the unmanned aerial vehicle is generated; an unmanned aerial vehicle behavior sequence is constructed in an instruction coding mode, video background semantic information is added to the unmanned aerial vehicle behavior sequence, and an unmanned aerial vehicle behavior cognition video data set is generated and used for testing the integrity of a whole behavior cognition algorithm framework and providing feedback information. Flight videos in various complex environments can be generated, the method is applied to the field of unmanned aerial vehicle group intelligence, and the difficulty of training an unmanned aerial vehicle intelligent visual model is reduced.

Description

technical field [0001] The invention belongs to the technical field of computer vision and unmanned aerial vehicle vision in an air-to-air scene, and in particular relates to a method for generating a simulated video of an unmanned aerial vehicle. Background technique [0002] With the continuous development of computer vision technology, many jobs that require a lot of human resources have been replaced by intelligent machines. From face payment to video surveillance, from automatic driving to spaceflight, human society has undergone revolutionary changes. UAV vision in air-to-air scenarios is an extension of computer vision. It is equipped with computing chips and image sensors on UAVs to perceive and understand other UAV digital image signals obtained from the real world, so as to realize unmanned Group intelligence. In UAV vision, rich and accurate UAV flight video data is the guarantee and cornerstone of UAV movement research, which provides a large amount of mineable ...

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Application Information

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IPC IPC(8): G06T17/00G06T19/00G06T3/00
Inventor 吕良李东泽孟志鹏
Owner NAT INNOVATION INST OF DEFENSE TECH PLA ACAD OF MILITARY SCI