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A Novel Approach to Air Corridor Estimation and Visualization for Autonomous Multi-UAV Flights

Kamal, Aasim
http://orcid.org/0000-0002-1160-3144
http://rave.ohiolink.edu/etdc/view?acc_num=toledo1556902471108278

Abstract Details

2019, Master of Science, University of Toledo, Engineering (Computer Science).
The world is on the brink of an era of Unmanned Aerial Vehicles (UAVs), widely known to public as drones, where we will get to experience multiple UAVs flying in the national airspace carrying out diverse tasks such as monitoring, surveillance, product deliveries, law enforcement, fertilizing crop fields, aerial photography, and transport. In such scenarios, where multiple UAVs are flying in a smaller airspace, there is a possibility of collisions, path overlaps, mix-ups, and uncertainties as far as their flying routes are concerned. These flying routes could be inside constructed air corridors where the UAVs would be allotted to fly, similar to the air corridors of commercial aircraft. There is a growing need to identify and construct these air corridors for UAVs to fly in their respective corridors to avoid such mishaps as is what is done with commercial airplanes. The airplanes fly in their designated air corridors from one location to another without any uncertainty. It would be really useful to devise and design such a system for multiple UAVs as well, that would be able to construct air corridors for them to fly through. This served as the primary motivation behind proposing a novel approach to estimate and visualize air corridors for autonomous multi-UAV flights in an airspace. In addition to it, we studied various popular uncertainty visualization techniques and came up with a cutting-edge way to incorporate uncertainty into the visualization of the air corridors. Furthermore, we provide a standalone web application with a user-friendly graphical user interface (GUI) developed using HTML5, CSS3, JavaScript and an open-source JavaScript library for visualizing world-class 3-D maps called CesiumJS. Subsequently, we present the estimation and visualization results and discuss possible application areas where the proposed technique could be put to use. Finally, we discuss the summarized research findings and future research directions.
Ahmad Javaid (Committee Chair)
Vijay Devabhaktuni (Committee Co-Chair)
Devinder Kaur (Committee Member)
170 p.
Computer Engineering; Computer Science
multi-uav; air corridors; visualization; uncertainty visualization; next-gen multi-uav systems; airspace; uav air corridors; monitoring systems; air corridor estimation; air corridor visualization; multi-uav systems; uav flight corridors;

Recommended Citations

Citations

  • Kamal, A. (2019). A Novel Approach to Air Corridor Estimation and Visualization for Autonomous Multi-UAV Flights [Master's thesis, University of Toledo]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1556902471108278

    APA Style (7th edition)

  • Kamal, Aasim. A Novel Approach to Air Corridor Estimation and Visualization for Autonomous Multi-UAV Flights. 2019. University of Toledo, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=toledo1556902471108278.

    MLA Style (8th edition)

  • Kamal, Aasim. "A Novel Approach to Air Corridor Estimation and Visualization for Autonomous Multi-UAV Flights." Master's thesis, University of Toledo, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1556902471108278

    Chicago Manual of Style (17th edition)

toledo1556902471108278
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© 2019, all rights reserved.
This open access ETD is published by University of Toledo and OhioLINK.