Human-in-the-loop extension to stream classification for labeling of low altitude drone imagery

Author(s):  
Jeffrey Schulz ◽  
Andrew R. Buck ◽  
Derek T. Anderson ◽  
James M. Keller ◽  
Grant J. Scott ◽  
...  
Author(s):  
Kim-Phuong L. Vu ◽  
Jonathan VanLuven ◽  
Timothy Diep ◽  
Vernol Battiste ◽  
Summer Brandt ◽  
...  

A human-in-the-loop simulation was conducted to evaluate the impact of Unmanned Aircraft Systems (UAS) with low size, weight, and power (SWaP) sensors operating in a busy, low-altitude sector. Use of low SWaP sensors allow for UAS to perform detect-and-avoid (DAA) maneuvers against non-transponding traffic in the sector. Depending upon the detection range of the low SWaP sensor, the UAS pilot may or may not have time to coordinate with air traffic controllers (ATCos) prior to performing the DAA maneuver. ATCo’s sector performance and subjective ratings of acceptability were obtained in four conditions that varied in UAS-ATCo coordination (all or none) prior to the DAA maneuver and workload (higher or lower). For performance, ATCos committed more losses of separation in high than low workload conditions. They also had to make more flight plan changes to manage the UAS when the UAS pilot did not coordinate DAA maneuvers compared to when they did coordinate the maneuvers prior to execution. Although the ATCos found the DAA procedures used by the UAS in the study to be acceptable, most preferred the UAS pilot to coordinate their DAA maneuvers with ATCos prior to executing them.


Author(s):  
Sanna Aronsson ◽  
Henrik Artman ◽  
Mikael Mitchell ◽  
Robert Ramberg ◽  
Rogier Woltjer

Live virtual constructive (LVC) flight simulations mix pilots flying actual aircraft, pilots flying in simulators, and computer-generated forces, in joint scenarios. Training resources invested in LVC scenarios must give a high return, and therefore pilots in both live aircraft and simulators need to experience training value for the extensive resources invested in both, an aspect not emphasized in current LVC research. Thus, there is a need for a function, in this article described as LVC Allocator, which assures that complex LVC training scenarios include aspects of training value for all participants, and, thus, purposefully align scenario design with training value. A series of workshops were carried out with 16 fast-jet pilots articulating the training challenges that LVC could contribute to solving, and allocating LVC entities in a training scenario design exercise. The training values for LVC included large scenarios, weapon delivery, flight safety, adversary performance, and weather dependence. These values guided the reasoning of how to allocate different entities to L, V, or C entities. Allocations were focused on adversaries as V, keeping entity types together, weather dependence, low-altitude and supersonic flying requirements, and to let L entities handle and lead complex tasks to keep the human in the loop.


1994 ◽  
Vol 144 ◽  
pp. 635-639
Author(s):  
J. Baláž ◽  
A. V. Dmitriev ◽  
M. A. Kovalevskaya ◽  
K. Kudela ◽  
S. N. Kuznetsov ◽  
...  

AbstractThe experiment SONG (SOlar Neutron and Gamma rays) for the low altitude satellite CORONAS-I is described. The instrument is capable to provide gamma-ray line and continuum detection in the energy range 0.1 – 100 MeV as well as detection of neutrons with energies above 30 MeV. As a by-product, the electrons in the range 11 – 108 MeV will be measured too. The pulse shape discrimination technique (PSD) is used.


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