Next Article in Journal
Coastal Mapping Using DJI Phantom 4 RTK in Post-Processing Kinematic Mode
Previous Article in Journal
Deep Neural Networks and Transfer Learning for Food Crop Identification in UAV Images
 
 
Article

Applications of Unmanned Aerial Systems (UAS): A Delphi Study Projecting Future UAS Missions and Relevant Challenges

1
Air Force Life Cycle Management Center, Wright-Patterson AFB, OH 45433, USA
2
Air Force Institute of Technology, Wright-Patterson AFB, OH 45433, USA
*
Author to whom correspondence should be addressed.
Received: 6 February 2020 / Revised: 5 March 2020 / Accepted: 6 March 2020 / Published: 10 March 2020
Over recent decades, the world has experienced a growing demand for and reliance upon unmanned aerial systems (UAS) to perform a broad spectrum of applications to include military operations such as surveillance/reconnaissance and strike/attack. As UAS technology matures and capabilities expand, especially with respect to increased autonomy, acquisition professionals and operational decision makers must determine how best to incorporate advanced capabilities into existing and emerging mission areas. This research seeks to predict which autonomous UAS capabilities are most likely to emerge over the next 20 years as well as the key challenges for implementation for each capability. Employing the Delphi method and relying on subject matter experts from operations, acquisitions and academia, future autonomous UAS mission areas and the corresponding level of autonomy are forecasted. The study finds consensus for a broad range of increased UAS capabilities with ever increasing levels of autonomy, but found the most promising areas for research and development to include intelligence, surveillance, and reconnaissance (ISR) mission areas and sense and avoid and data link technologies. View Full-Text
Keywords: Unmanned Aerial Systems (UAS), autonomy; Delphi Study; challenges; future military applications; Data-Driven Decision-Making (DDDM) Unmanned Aerial Systems (UAS), autonomy; Delphi Study; challenges; future military applications; Data-Driven Decision-Making (DDDM)
Show Figures

Figure 1

MDPI and ACS Style

Sigala, A.; Langhals, B. Applications of Unmanned Aerial Systems (UAS): A Delphi Study Projecting Future UAS Missions and Relevant Challenges. Drones 2020, 4, 8. https://doi.org/10.3390/drones4010008

AMA Style

Sigala A, Langhals B. Applications of Unmanned Aerial Systems (UAS): A Delphi Study Projecting Future UAS Missions and Relevant Challenges. Drones. 2020; 4(1):8. https://doi.org/10.3390/drones4010008

Chicago/Turabian Style

Sigala, Alberto, and Brent Langhals. 2020. "Applications of Unmanned Aerial Systems (UAS): A Delphi Study Projecting Future UAS Missions and Relevant Challenges" Drones 4, no. 1: 8. https://doi.org/10.3390/drones4010008

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop