Quantitative Approach and Departure Risk Assessment for Unmanned Aerial Systems

dc.contributor.authorAdie, Dylan S.en
dc.contributor.committeechairCanfield, Robert Arthuren
dc.contributor.committeememberBriggs, Robert Claytonen
dc.contributor.committeememberWoolsey, Craig A.en
dc.contributor.departmentAerospace and Ocean Engineeringen
dc.date.accessioned2023-02-10T09:00:49Zen
dc.date.available2023-02-10T09:00:49Zen
dc.date.issued2023-02-09en
dc.description.abstractAs the use of Unmanned Aerial Systems (UAS) becomes more common in both civilian/commercial and military applications, so too has the risk of injury to individuals and third parties on the ground. The purpose of this research is to further enhance methods currently in use for performing flight path risk assessment for UAS, as well as improve upon an existing software tool: Quantitative Approach and Departure Risk Assessment (QUADRA). The primary focus is upon the incorporation of building information to determine the protection offered to sheltered populations, reevaluate the probability of fatality models used in aircraft failures to more accurately determine the risk for smaller UAS systems, and to provide a metric for determining the number of individuals that are adversely affected by the noise of the autonomous system as it performs its mission.en
dc.description.abstractgeneralUnmanned Aerial Vehicles are aircraft that are operated without a pilot onboard. More conventionally known as drones, these aircraft can be at increased risk to individuals on the ground as there is no pilot in the aircraft to course correct should the aircraft fail. Due to the potential for drones to fail and thus injure people on the ground, a method for determining the number of people injured or killed by an aircraft for its mission has been developed. These methods identify areas on the ground where the aircraft may land, as well as the potential number of fatalities for a given mission. To minimize the risk to people on the ground, the flight path of the drone is changed until a lower risk flight path is found. Similarly, the sound produced by these drones is used to determine the number of people who may hear the aircraft as it is flying overhead, as well as the number of people who may be annoyed or disturbed by this noise.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:36319en
dc.identifier.urihttp://hdl.handle.net/10919/113764en
dc.language.isoenen
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectUnmanned Aerial Vehiclesen
dc.titleQuantitative Approach and Departure Risk Assessment for Unmanned Aerial Systemsen
dc.typeThesisen
thesis.degree.disciplineAerospace Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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