• Register
  • Login
  • العربیة

Alkut university college journal

  1. Home
  2. Robust FPV Drone Vision by Artificial Intelligence Technology

Current Issue

By Issue

By Author

By Subject

Author Index

Keyword Index

About Journal

News

Aims and Scope

Robust FPV Drone Vision by Artificial Intelligence Technology

    Authors

    • Doaa Talib Zaidan
    • Ali Salim Rasheed
    • Zaid Hikmat Kareem
,

Document Type : Research Paper

  • Article Information
  • Download
  • Export Citation
  • Statistics
  • Share

Abstract

Ground station remote control of drones is the key for advancing this technology into commercial use. For example, reliable ground control is required when human intervention is needed. Manual flights were also required to collect various data sets for training the deep-control system. This axiom applies even more to drones, where there is no easy way to capture the best possible navigational footage. In this case, enhancing the ground control capabilities of drones through precise control devices. To enhance the ground control experience and thus the quality of the footage, we suggest robust remoting- system to a full-immersive experience, providing the operator with a clear vision, and first-person perspective (FPV) view through a Head-Mounted -Display (HMD). We do practical tests by having users (n=10) try to fly the drone in the suggested area. Flight tests have shown that users operating our system can successfully fully position perception, and land using the HMD headset. This only affects mesoscopic vision. The immersive experience gives a more accurate and realistic rhythm during the process of controlling the drone, which achieves an enjoyable flying experience. Our method provides higher accuracy of flight perception, leading to higher accuracy, which translates into fine flight data for training comprehensive drone control policies. The system depends on developing the ability to see the drone by using artificial intelligence techniques that stimulate the capabilities of virtual reality in enhancing the vision of users. This was evident through the tests conducted on the ten people as samples, whose results were approved during this approach.

Keywords

  • Drone
  • Virtual Reality
  • HMD
  • FPV
  • Fully immersive
  • XML
  • PDF 1.24 M
  • RIS
  • EndNote
  • Mendeley
  • BibTeX
  • APA
  • MLA
  • HARVARD
  • CHICAGO
  • VANCOUVER
    • Article View: 120
    • PDF Download: 36
Alkut university college journal
Volume 2023, The 6th Scientific Conference - Issue Serial Number 6
The 6th Scientific Conference of Al-Kut University College , Issue Special issue
2023
Page 208-214
Files
  • XML
  • PDF 1.24 M
Share
Export Citation
  • RIS
  • EndNote
  • Mendeley
  • BibTeX
  • APA
  • MLA
  • HARVARD
  • CHICAGO
  • VANCOUVER
Statistics
  • Article View: 120
  • PDF Download: 36

APA

Zaidan, D. T. , Rasheed, A. S. and Kareem, Z. H. (2023). Robust FPV Drone Vision by Artificial Intelligence Technology. Alkut university college journal, 2023(The 6th Scientific Conference), 208-214.

MLA

Zaidan, D. T. , , Rasheed, A. S. , and Kareem, Z. H. . "Robust FPV Drone Vision by Artificial Intelligence Technology", Alkut university college journal, 2023, The 6th Scientific Conference, 2023, 208-214.

HARVARD

Zaidan, D. T., Rasheed, A. S., Kareem, Z. H. (2023). 'Robust FPV Drone Vision by Artificial Intelligence Technology', Alkut university college journal, 2023(The 6th Scientific Conference), pp. 208-214.

CHICAGO

D. T. Zaidan , A. S. Rasheed and Z. H. Kareem, "Robust FPV Drone Vision by Artificial Intelligence Technology," Alkut university college journal, 2023 The 6th Scientific Conference (2023): 208-214,

VANCOUVER

Zaidan, D. T., Rasheed, A. S., Kareem, Z. H. Robust FPV Drone Vision by Artificial Intelligence Technology. Alkut university college journal, 2023; 2023(The 6th Scientific Conference): 208-214.

  • Home
  • About Journal
  • Editorial Board
  • Submit Manuscript
  • Contact Us
  • Sitemap

News

Newsletter Subscription

Subscribe to the journal newsletter and receive the latest news and updates

©