Mission Performance Evaluation of Low-speed Small Unmanned Aerial Systems Using Virtual Range and Stereo Camera Sensors

2018 ◽  
Author(s):  
Mitchell Scott ◽  
Kshitij Jerath
Keyword(s):  
Performance Evaluation ◽  
Unmanned Aerial Systems ◽  
Stereo Camera ◽  
Low Speed ◽  
Aerial Systems ◽  
Camera Sensors

scholarly journals SET-THEORETIC MODELS OF AN UNMANNED AERIAL SYSTEM FOR PREDICTING FAILURE-FREE FACTORS

2020 ◽  
pp. 87-94
Author(s):  
S. Rudnichenko ◽  
Y. Kamak ◽  
S. Nesterenko ◽  
M. Herashchenko
Keyword(s):  
Performance Evaluation ◽  
Bayesian Belief Networks ◽  
Transport Systems ◽  
Necessary Condition ◽  
Unmanned Aerial Systems ◽  
Time To Failure ◽  
Operation Process ◽  
Final Failure ◽  
Exclusive Or ◽  
Aerial Systems

The article analyzes the approaches to the creation of mathematical models focused on determining the failure-free factors of unmanned aerial systems during their operation. It is noted that many economic and social processes can be narrowed down to the problem of the choice made by their participants between several alternative (mutually exclusive or competing) options. Examples include the problem of consumer behavior in a competitive market in which the consumer makes investment decisions in the context of choosing between several alternative projects; selection of possible transport systems for passenger and сargo transportation; choosing among alternative opportunities for the economic growth of territories, decision-making in speculative financial markets (using instruments to buy for a rise or sell short) and others. To ensure the possibility of determining the predicted failure-free factors at the stage of performance evaluation by methods of functional and structural analysis, a mathematical model of the process of determining failure-free factors was developed, focused on the use of dynamic Bayesian belief networks. The proposed model takes into account the Markovian character of the operation process running, in which failures of elements and subsystems are compensated by actions to restore the system. The failure rates of UAS during performance evaluation, as well as the average integral value survival rate for the period of performance evaluation, the rate of occurrence of failures and time to failure are determined as the final failure-free factors. The model is evaluated as a necessary condition for further development of specially configured software to solve the problem of determining failure-free factors of unmanned aerial systems.

LIGHTER-THAN-AIR (LTA) UNMANNED AERIAL SYSTEM (UAS) CARRIER CONCEPT FOR SURVAILLANCE AND DISASTER MANAGEMENT

2019 ◽  
Vol 3 ◽  
pp. 1255
Author(s):  
Ahmad Salahuddin Mohd Harithuddin ◽  
Mohd Fazri Sedan ◽  
Syaril Azrad Md Ali ◽  
Shattri Mansor ◽  
Hamid Reza Jifroudi ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Disaster Management ◽  
Unmanned Aerial Systems ◽  
Unmanned Aerial System ◽  
Border Control ◽  
Aerial Vehicles ◽  
Operational Safety ◽  
In Situ Methods ◽  
Aerial Systems

Unmanned aerial systems (UAS) has many advantages in the fields of SURVAILLANCE and disaster management compared to space-borne observation, manned missions and in situ methods. The reasons include cost effectiveness, operational safety, and mission efficiency. This has in turn underlined the importance of UAS technology and highlighted a growing need in a more robust and efficient unmanned aerial vehicles to serve specific needs in SURVAILLANCE and disaster management. This paper first gives an overview on the framework for SURVAILLANCE particularly in applications of border control and disaster management and lists several phases of SURVAILLANCE and service descriptions. Based on this overview and SURVAILLANCE phases descriptions, we show the areas and services in which UAS can have significant advantage over traditional methods.

Beach and dune impacts due to Hurricane Florence in Dare County, North Carolina

Shore & Beach ◽  
2019 ◽  
pp. 44-49 ◽  
Author(s):  
Elizabeth Sciaudone ◽  
Liliana Velasquez-Montoya
Keyword(s):  
North Carolina ◽  
Prior Knowledge ◽  
Unmanned Aerial Systems ◽  
State University ◽  
National Wildlife Refuge ◽  
Sediment Samples ◽  
Wildlife Refuge ◽  
Full Report ◽  
Aerial Systems

Less than two weeks after Hurricane Florence made landfall in North Carolina (NC), a team of researchers from NC State University traveled to Dare County to investigate the storm’s effects on beaches and dunes. Using available post-storm imagery and prior knowledge of vulnerabilities in the system, the team identified several locations to visit in the towns of Kitty Hawk, Nags Head, Rodanthe, Buxton, and Hatteras, as well as a number of locations within the Pea Island National Wildlife Refuge (Figure 1). Data collected included topographic profiles, still imagery and video from unmanned aerial systems, sediment samples, and geo-located photography. This Coastal Observations piece presents some of the data and photos collected; the full report is available online (Sciaudone et al. 2019), and data collected will be made available to interested researchers upon request.

A Comparative Economic Study on the Use of Unmanned Aerial Systems versus Motorcycles to Transport Laboratory Samples in Liberia

2019 ◽  
Author(s):  
Walter Ochieng ◽  
Tun Ye ◽  
Christina M. Scheel ◽  
Aun Lor ◽  
John M. Saindon ◽  
...  
Keyword(s):  
Unmanned Aerial Systems ◽  
Economic Study ◽  
Aerial Systems
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