Unmanned Aerial Vehicle (UAV): Back to Base Without Satellite Navigation

被引：0
|
作者：
Blazhko, Vladislav [1 ]
Kalinovsky, Alexander [2 ]
Kovalev, Vassili [2 ]
机构：
[1] Belarusian State Univ, Minsk, BELARUS
[2] NAS Belarus, United Inst Informat Problems, Minsk, BELARUS
来源：
PATTERN RECOGNITION AND INFORMATION PROCESSING | 2017年 / 673卷
关键词：
UAV; Drones; Detectors; Descriptors;
D O I：
10.1007/978-3-319-54220-1_15
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Everyone wants to automate routine or tiring work. There are a lot of tasks that may be done by drones. For example border protection or delivering. But before any company or even country adopts any technology we need to verify that it's not vulnerable to any attacks. A satellite navigation is at least one vulnerability for drones, which can be easily broken or spoofed. This is a serious problem on the way to automation work by drones. Our goal is to improve accuracy of existing Inertial Navigation Systems on UAVs with an on-board video camera. In this article we've investigated how feature based methods fit back to base problem.
引用
收藏
页码：140 / 149
页数：10
相关论文
共 50 条
  • [31] Unmanned aerial vehicle (UAV) operated megapixel spectral camera
    Makynen, Jussi
    Holmlund, Christer
    Saari, Heikki
    Ojala, Kai
    Antila, Tapani
    [J]. ELECTRO-OPTICAL REMOTE SENSING, PHOTONIC TECHNOLOGIES, AND APPLICATIONS V, 2011, 8186
  • [32] 6-18 Drone (Unmanned aerial vehicle, UAV)
    Hasegawa, Katsuya
    [J]. Journal of the Institute of Image Electronics Engineers of Japan, 2019, 48 (01):
  • [33] MM-UAV: Mobile Manipulating Unmanned Aerial Vehicle
    Christopher M. Korpela
    Todd W. Danko
    Paul Y. Oh
    [J]. Journal of Intelligent & Robotic Systems, 2012, 65 : 93 - 101
  • [34] Novel Twig Sampling Method by Unmanned Aerial Vehicle (UAV)
    Kaeslin, Florian
    Baur, Thomas
    Meier, Philip
    Koller, Patrick
    Buchmann, Nina
    D'Odorico, Petra
    Eugster, Werner
    [J]. FRONTIERS IN FORESTS AND GLOBAL CHANGE, 2018, 1
  • [35] Simulation of Intelligent Unmanned Aerial Vehicle (UAV) For Military Surveillance
    Ma'sum, M. Anwar
    Arrofi, M. Kholid
    Jati, Grafika
    Arifin, Futuhal
    Kumiawan, M. Nanda
    Mursanto, Petrus
    Jatmiko, Wisnu
    [J]. 2013 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE AND INFORMATION SYSTEMS (ICACSIS), 2013, : 161 - 166
  • [36] UNMANNED AERIAL VEHICLE (UAV) APPLICATION FOR UPDATING OF URBAN DATABASE
    Le Van Trung
    Nguyen Huu Nhat
    Mai Cong Nhut
    [J]. ENVIRONMENT, RESOURCES, AND EARTH SCIENCES, 2021, 652
  • [37] Unmanned Aerial Vehicle (UAV) Forensics: The Good, The Bad, and the Unaddressed
    Studiawan, Hudan
    Grispos, George
    Choo, Kim-Kwang Raymond
    [J]. COMPUTERS & SECURITY, 2023, 132
  • [38] MM-UAV: Mobile Manipulating Unmanned Aerial Vehicle
    Korpela, Christopher M.
    Danko, Todd W.
    Oh, Paul Y.
    [J]. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2012, 65 (1-4) : 93 - 101
  • [39] Reliability allocation method for unmanned aerial vehicle (UAV) system
    Zhang, Rui
    Li, Bo
    [J]. Nanjing Hangkong Hangtian Daxue Xuebao/Journal of Nanjing University of Aeronautics and Astronautics, 2009, 41 (SUPPL. 1): : 106 - 108
  • [40] Images Processing of Unmanned Aerial Vehicle (UAV) for Cannabis Identification
    Guno, Yomi
    Rezaldi, Muhammad Yudhi
    Triputra, Fadjar Rahino
    Suhud, Ridwan
    Febriandirza, Arafat
    Rustandi, Apid
    Sutyawan, Aang Gunawan
    Syahrul
    Tanasa, Irfansyah Yudhi
    Wicaksono, Guno
    Leonardus, Alberto
    Karyawan
    Widyawasta
    Kaharjito, Frandi Adi
    Fuadi, Abid Paripurna
    Hidayat, Asyaraf
    Wibowo, Mukti
    Depari, Yohanes P. D. S.
    Raharjo, Dwi
    Rudiyono
    [J]. TRAITEMENT DU SIGNAL, 2024, 41 (03) : 1473 - 1483
12345