The task of creating and establishing a hypopharyngeal neural network for recognizing camouflaged objects from unmanned lethal vehicles in a conflict environment is considered. Evidence of UAV navigation in the field of radio-electronic warfare has been established based on high-quality images of locality. Based on the establishment of hybrid hypothalamic neural networks, an experimental verification of the effectiveness of masking objects with herbaceous plantings was carried out. The robot has carried out the results of the investigation, taken on the basis of high-quality photographs from the Internet, where there are gardens with herbaceous plantings and the collection of plants that are The situation turned out to be practically unattainable in order to change the recognition of camouflaged objects from the vicinity of neural networks for UAV navigation.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Application of Convolutional Neural Network for Recognition of Cloaked Objects from UAVs




    Publication date :

    2024-10-22


    Size :

    682569 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Optical Detection of UAVs Using Deep Convolutional Neural Networks

    Zohra, Saadaoui Fatima / Nawal, Cheggaga / El Houda, Djabri Nour | IEEE | 2023


    Neural Network Guidance for UAVs

    Julian, Kyle D. / Kochenderfer, Mykel J. | AIAA | 2017



    Car Recognition System Using Convolutional Neural Network

    Chauhan, Shweta / Kumar, Rahul / Kumar, Bibek | IEEE | 2023