PhD Defense by Joel Dunham

Event Details
  • Date/Time:
    • Wednesday May 6, 2020
      11:00 am - 1:00 pm
  • Location: BlueJeans
  • Phone:
  • URL: BlueJeans Link
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact
No contact information submitted.
Summaries

Summary Sentence: Risk Analysis Framework for Unmanned Systems

Full Summary: No summary paragraph submitted.

Joel Dunham
(Advisors: Dr. Eric Johnson, Dr. Eric Feron, Dr. Brian German]

will defend a doctoral thesis entitled,

Risk Analysis Framework for Unmanned Systems

On

Wednesday, May 6, 2020 at 11:00 a.m.
at https://bluejeans.com/672871361?src=join_info
 

Abstract
Airspace regulatory agencies are currently focusing on risk assessment frameworks for integrating the operation of Unmanned Aerial Systems (UAS) into National Air Space (NAS). Multiple frameworks, such as the Specific Operations Risk Assessment (SORA) framework for the European Union and similar frameworks for the US, provide defined pathways to evaluate the risk and seek approval for UAS operations. These frameworks are primarily qualitative and are sufficiently flexible to incorporate quantitative approaches, many of which have been proposed and tested in literature. Most proposed quantitative methods are still under development. Likewise, real-time analysis methods, designed to provide decision-making to unmanned systems during operations, have been proposed. Current real-time analysis methods still suffer from limitations, such as only applying to specific operations. This research applies Dempster-Shafer theory and valuation networks, a framework for reasoning with uncertainty used extensively for risk analysis, to UAS risk analysis by creating extensions which allow this framework to learn risk relationships in the UAS ecosystem based on operational results and enable this framework to be used in real-time analysis onboard small UAS. These extensions are applied to an autonomous car scenario for testing the capabilities against known baselines, then applied to the UAS scenario for testing in simulation against a previously implemented real-time health monitoring system. Finally, these extensions are demonstrated in flight on a small UAS. Application to the UAS ecosystem and conclusions are addressed based on the results of these tests.

Committee

  • Professor Eric Johnson – School of Aerospace Engineering at Pennsylvania State University and Adjunct Professor at the School of Aerospace Engineering at Georgia Institute of Technology (advisor)
  • Professor Eric Feron – School of Aerospace Engineering at Georgia Institute of Technology and King Abdullah University of Science and Technology (advisor)
  • Professor Brian German – School of Aerospace Engineering at Georgia Institute of Technology (advisor)
  • Professor John-Paul Clarke – School of Aerospace Engineering at Georgia Institute of Technology
  • Dr. Amy Pritchett – Department Head of School of Aerospace Engineering at Pennsylvania State University
  • Dr. Maxime Gariel – Chief Technology Officer, X-Wing

 

Additional Information

In Campus Calendar
No
Groups

Graduate Studies

Invited Audience
Faculty/Staff, Public, Graduate students, Undergraduate students
Categories
Other/Miscellaneous
Keywords
Phd Defense
Status
  • Created By: Tatianna Richardson
  • Workflow Status: Published
  • Created On: Apr 20, 2020 - 1:44pm
  • Last Updated: Apr 20, 2020 - 1:44pm