In-depth review of AI-enabled unmanned aerial vehicles: trends, vision, and challenges

被引:0
|
作者
Osim Kumar Pal [1 ]
MD Sakib Hossain Shovon [2 ]
M. F. Mridha [2 ]
Jungpil Shin [3 ]
机构
[1] University of Patras,Department of Electrical & Computer Engineering
[2] American International University-Bangladesh,Department of Computer Science
[3] The University of Aizu,Department of Computer Science and Engineering
来源
关键词
Aerial vehicles; Generative AI; Green computing; Traffic monitoring; Agriculture surveillance; CNN; YOLO;
D O I
10.1007/s44163-024-00209-1
中图分类号
学科分类号
摘要
In recent times, AI and UAV have progressed significantly in several applications. This article analyzes applications of UAV with modern green computing in various sectors. It addresses cutting-edge technologies such as green computing, generative AI, future scope, and related concerns in UAV. The research investigates the role of green computing and generative AI in combination with UAVs for navigation, object recognition and tracking, wildlife monitoring, precision agriculture, rescue operations, surveillance, and UAV communication. This study examines how modern computing technologies and UAVs are being applied in agriculture, surveillance, disaster management, and other areas. The ethics of UAV and AI applications, including safety, legal frameworks, and other issues, are thoroughly investigated. This research examines AI-based UAV applications across different disciplines, using open-source data and current advancements for future growth in this domain. This investigation will aid future researchers in their exploration of UAVs using cutting-edge computing technologies.
引用
收藏
相关论文
共 50 条
  • [21] UNMANNED AERIAL VEHICLES (UAV) - DESIGN TRENDS
    Shetty, Devdas
    Manzione, Louis
    PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2011, VOL 1, 2012, : 345 - 352
  • [22] Anthropomorphism in AI-enabled technology: A literature review
    Mengjun Li
    Ayoung Suh
    Electronic Markets, 2022, 32 : 2245 - 2275
  • [23] Anthropomorphism in AI-enabled technology: A literature review
    Li, Mengjun
    Suh, Ayoung
    ELECTRONIC MARKETS, 2022, 32 (04) : 2245 - 2275
  • [24] A Review of Navigation Algorithms for Unmanned Aerial Vehicles Based on Computer Vision Systems
    Ali B.
    Sadekov R.N.
    Tsodokova V.V.
    Gyroscopy and Navigation, 2022, 13 (4) : 241 - 252
  • [25] Unmanned Aerial Vehicles: Communications Challenges and Future Aerial Networking
    Matolak, David W.
    2015 INTERNATIONAL CONFERENCE ON COMPUTING, NETWORKING AND COMMUNICATIONS (ICNC), 2015, : 567 - 572
  • [26] Cybersecurity in Unmanned Aerial Vehicles: a Review
    Shafik, Wasswa
    Matinkhah, S. Mojtaba
    Shokoor, Fawad
    INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS, 2023, 16 (01):
  • [27] Towards Full Omnidirectional Depth Sensing using Active Vision for Small Unmanned Aerial Vehicles
    Harmat, Adam
    Sharf, Inna
    2014 CANADIAN CONFERENCE ON COMPUTER AND ROBOT VISION (CRV), 2014, : 24 - 31
  • [28] QUADROTORS UNMANNED AERIAL VEHICLES: A REVIEW
    Ghazbi, S. Norouzi
    Aghli, Y.
    Alimohammadi, M.
    Akbari, A. A.
    INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS, 2016, 9 (01): : 309 - 333
  • [29] APPLICATIONS OF UNMANNED AERIAL VEHICLES: A REVIEW
    Nawaz, Haque
    Ali, Husnain Mansoor
    Massan, Shafiq-ur-Rehman
    3C TECNOLOGIA, 2019, (SI): : 85 - 105
  • [30] ISDNet: AI-enabled Instance Segmentation of Aerial Scenes for Smart Cities
    Garg, Prateek
    Chakravarthy, Anirudh Srinivasan
    Mandal, Murari
    Narang, Pratik
    Chamola, Vinay
    Guizani, Mohsen
    ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2021, 21 (03)