The present invention is to provide a method for autonomously controlling a flight operation of an unmanned aviation vehicle using an artificial neural network based on an image obtained from a depth camera. According to the present invention, an unmanned aviation vehicle for performing flight control through learning comprises: a processor for acquiring at least one image including information on the surrounding environment of the unmanned aviation vehicle and physical information of the unmanned aviation vehicle; a map processor for generating an obstacle map based on the image of the surrounding environment of the unmanned aviation vehicle and the physical information obtained from the processor; and an artificial neural network part which determines the flight operation of the unmanned aviation vehicle through an artificial neural network based on the image of the surrounding environment of the unmanned aviation vehicle acquired from the processor, the physical information, and the obstacle map acquired from the map processor, and updates the artificial neural network based on the determined result value of the flight operation.

    학습을 통해 비행 제어를 수행하는 무인 비행체로서, 상기 무인 비행체 주변 환경에 관한 정보를 포함하는 적어도 하나 이상의 이미지 및 상기 무인 비행체의 물리 정보를 획득하는 프로세서; 상기 프로세서로부터 획득한 상기 무인 비행체 주변 환경의 이미지 및 상기 물리 정보를 기초로 장애물 맵을 생성하는 맵 프로세서; 및 상기 프로세서로부터 획득한 상기 무인 비행체 주변 환경의 이미지, 상기 물리 정보 및 상기 맵 프로세서로부터 획득한 상기 장애물 맵을 기초로 인공 신경망을 통해 상기 무인 비행체의 비행 동작을 결정하고, 상기 결정된 비행 동작의 결과 값을 기초로 상기 인공 신경망을 업데이트 하는 인공 신경망부를 포함한다.


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    Title :

    METHOD AND APPARATUS FOR LEARNING OF CONTROLLING AVIATION OF UNMANNED AVIATION VEHICLE BY USING DEPTH CAMERA


    Additional title:

    깊이 카메라를 이용한 무인 비행체의 비행 제어를 위한 학습 방법 및 장치


    Contributors:

    Publication date :

    2021-06-23


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Korean


    Classification :

    IPC:    B64C AEROPLANES , Flugzeuge



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