The present specification relates to an unmanned aerial vehicle for object identification, capable of recognizing an object in a bad weather environment using a lidar sensor, and an object identification method of the unmanned aerial vehicle. According to one embodiment of the present specification, the unmanned aerial vehicle for object identification comprises: a data receiving unit for obtaining lidar data including image data and three-dimensional (3D) location information from each of an image sensor and the lidar sensor; a depth map conversion unit for converting the obtained lidar data into two-dimensional (2D) coordinates and converting the converted 2D coordinates into a depth map; a fusion data generation unit generating red green depth (RGD) fusion data by matching the depth map to the image data; and an object identification unit identifying objects included in the RGD fusion data generated by using a deep learning model.

    본 명세서는 객체 식별 무인 항공기 및 무인 항공기의 객체 식별 방법에 관한 것이다. 본 명세서의 일 실시예에 따른 객체 식별 무인 항공기는 영상 센서 및 라이다 센서 각각으로부터 영상 데이터 및 3차원 위치 정보를 포함하는 라이다 데이터를 획득하는 데이터 수신부, 획득한 라이다 데이터를 2차원 좌표로 변환하고, 변환된 2차원 좌표를 깊이 맵으로 변환하는 깊이 맵 변환부, 깊이 맵을 영상 데이터에 매칭시켜 RGD(Red Green Depth) 융합 데이터를 생성하는 융합 데이터 생성부 및 딥러닝 모델을 이용하여 생성된 RGD 융합 데이터에 포함된 객체를 식별하는 객체 식별부를 포함한다.


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    Title :

    UNMANNED AEARIAL VEHICLE FOR IDENTIFYING OBJECTS AND METHOD FOR IDENTIFYING OBJECTS OF UNMANNED AEARIAL VEHICLE


    Additional title:

    객체 식별 무인 항공기 및 무인 항공기의 객체 식별 방법


    Contributors:

    Publication date :

    2022-09-07


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Korean


    Classification :

    IPC:    B64C AEROPLANES , Flugzeuge / B64D Ausrüstung für Flugzeuge , EQUIPMENT FOR FITTING IN OR TO AIRCRAFT / G01S RADIO DIRECTION-FINDING , Funkpeilung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / H04N PICTORIAL COMMUNICATION, e.g. TELEVISION , Bildübertragung, z.B. Fernsehen



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