Benchmarking Audio-based Deep Learning Models for Detection and Identification of Unmanned Aerial Vehicles

被引:0
|
作者
Katta, Sai Srinadhu [1 ]
Nandyala, Sivaprasad [1 ]
Viegas, Eduardo Kugler [1 ]
Almahmoud, Abdelrahman [1 ]
机构
[1] Technology Innovation Institute (TII), Secure Systems Research Centre (SSRC), Abu Dhabi, United Arab Emirates
关键词
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I
暂无
中图分类号
学科分类号
摘要
Aircraft detection - Antennas - Commercial vehicles - Convolution - Convolutional neural networks - Deep neural networks - Drones - Learning systems
引用
收藏
页码:7 / 11
相关论文
共 50 条
  • [1] Benchmarking Audio-based Deep Learning Models for Detection and Identification of Unmanned Aerial Vehicles
    Katta, Sai Srinadhu
    Nandyala, Sivaprasad
    Viegas, Eduardo Kugler
    AlMahmoud, Abdelrahman
    5TH WORKSHOP ON BENCHMARKING CYBER-PHYSICAL SYSTEMS AND INTERNET OF THINGS (CPS-IOTBENCH 2022), 2022, : 7 - 11
  • [2] Deep learning for unmanned aerial vehicles detection: A review
    Al-lQubaydhi, Nader
    Alenezi, Abdulrahman
    Alanazi, Turki
    Senyor, Abdulrahman
    Alanezi, Naif
    Alotaibi, Bandar
    Alotaibi, Munif
    Razaque, Abdul
    Hariri, Salim
    COMPUTER SCIENCE REVIEW, 2024, 51
  • [3] Unmanned Aerial Vehicle Detection and Identification Using Deep Learning
    Liu, Hongjie
    IWCMC 2021: 2021 17TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC), 2021, : 514 - 518
  • [4] Audio-based expansion learning for aerial target recognition
    Wu, Zhenning
    Jiang, Junjun
    Xiao, Zhongzhe
    Huang, Min
    APPLIED ACOUSTICS, 2022, 188
  • [5] Detection of exposed steel rebars based on deep-learning techniques and unmanned aerial vehicles
    Santos, R.
    Ribeiro, D.
    Lopes, P.
    Cabral, R.
    Calcada, R.
    AUTOMATION IN CONSTRUCTION, 2022, 139
  • [6] Automatic Modulation Classification Based on Deep Learning for Unmanned Aerial Vehicles
    Zhang, Duona
    Ding, Wenrui
    Zhang, Baochang
    Xie, Chunyu
    Li, Hongguang
    Liu, Chunhui
    Han, Jungong
    SENSORS, 2018, 18 (03)
  • [7] Transformers and deep CNNs for Unmanned Aerial Vehicles Detection
    Qi, Zhangyang
    Laplante, Jean-Francois
    Akhloufi, Moulay A.
    UNMANNED SYSTEMS TECHNOLOGY XXIV, 2022, 12124
  • [8] A survey on deep reinforcement learning for audio-based applications
    Latif, Siddique
    Cuayahuitl, Heriberto
    Pervez, Farrukh
    Shamshad, Fahad
    Ali, Hafiz Shehbaz
    Cambria, Erik
    ARTIFICIAL INTELLIGENCE REVIEW, 2023, 56 (03) : 2193 - 2240
  • [9] Model Free Identification of Traffic Conditions Using Unmanned Aerial Vehicles and Deep Learning
    Eleni I. Vlahogianni
    Javier Del Ser
    Konstantinos Kepaptsoglou
    Ibai Laña
    Journal of Big Data Analytics in Transportation, 2021, 3 (1): : 1 - 13
  • [10] Training Deep Learning Models via Synthetic Data: Application in Unmanned Aerial Vehicles
    Kamilaris, Andreas
    van den Brink, Corjan
    Karatsiolis, Savvas
    COMPUTER ANALYSIS OF IMAGES AND PATTERNS (CAIP 2019), 2019, 1089 : 81 - 90