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A Collision-Free Drone Scheduling System

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Date Issued:
2017
Summary:
Today, drones have been receiving a lot of notice from commercial businesses. Businesses (mainly companies that have delivery services) are trying to expand their productivity in order bring more satisfaction for their loyal customers. One-way companies can expand their delivery services are through the use of delivery drones. Drones are very powerful devices that are going through many evolutionary changes for their uses throughout the years. For many years, researchers in academia have been examining how drones can plan their paths along with avoiding collisions of other drones and certain obstacles in the civil airspace. However, researchers have not considered how the motion path planning can a ect the overall scheduling aspect of civilian drones. In this thesis, we propose an algorithm for a collision-free scheduling motion path planning of a set drones such that they avoid certain obstacles as well as maintaining a safety distance from each other.
Title: A Collision-Free Drone Scheduling System.
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Name(s): Steinberg, Andrew, author
Cardei, Mihaela, Thesis advisor
Florida Atlantic University, Degree grantor
College of Engineering and Computer Science
Department of Computer and Electrical Engineering and Computer Science
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Date Created: 2017
Date Issued: 2017
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, Fla.
Physical Form: application/pdf
Extent: 81 p.
Language(s): English
Summary: Today, drones have been receiving a lot of notice from commercial businesses. Businesses (mainly companies that have delivery services) are trying to expand their productivity in order bring more satisfaction for their loyal customers. One-way companies can expand their delivery services are through the use of delivery drones. Drones are very powerful devices that are going through many evolutionary changes for their uses throughout the years. For many years, researchers in academia have been examining how drones can plan their paths along with avoiding collisions of other drones and certain obstacles in the civil airspace. However, researchers have not considered how the motion path planning can a ect the overall scheduling aspect of civilian drones. In this thesis, we propose an algorithm for a collision-free scheduling motion path planning of a set drones such that they avoid certain obstacles as well as maintaining a safety distance from each other.
Identifier: FA00004984 (IID)
Degree granted: Thesis (M.S.)--Florida Atlantic University, 2017.
Collection: FAU Electronic Theses and Dissertations Collection
Note(s): Includes bibliography.
Subject(s): Dissertations, Academic -- Florida Atlantic University
Drone aircraft.
Algorithms.
Scheduling.
Drone aircraft--Safety measures.
Held by: Florida Atlantic University Libraries
Sublocation: Digital Library
Links: http://purl.flvc.org/fau/fd/FA00004994
Persistent Link to This Record: http://purl.flvc.org/fau/fd/FA00004984
Use and Reproduction: Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Owner Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.