The U.S. Air Force Remotely Piloted Aircraft and Unmanned Aerial Vehicle Strategic Vision

2005 ◽  
Author(s):  
DEPARTMENT OF THE AIR FORCE WASHINGTON DC
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Air Force ◽  
Strategic Vision ◽  
Remotely Piloted Aircraft ◽  
Aerial Vehicle ◽  
The U.S

Personal Self-Defense and the Standing Rules of Engagement

2018 ◽  
pp. 109-124
Author(s):  
Christopher M. Ford
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Armed Conflict ◽  
Use Of Force ◽  
Armed Forces ◽  
Armed Conflicts ◽  
Armed Groups ◽  
Self Defense ◽  
Aerial Vehicle ◽  
The Law ◽  
The U.S

The U.S. military Standing Rules of Engagement (SROE) restrict the use of force in armed conflict to either self-defense or “mission-specific” rules of engagement, which refer to the use of force against members of enemy armed forces or organized armed groups that have been “declared hostile.” This bifurcation of authority works well in an international armed conflict, where the enemy force is uniformed and easily distinguished. In these circumstances, the overwhelming number of engagements are against identified hostile forces. In many non-international armed conflicts, however, combatants actively attempt to camouflage their status, and U.S. forces find themselves engaging enemy forces under a self-defense framework. This creates problems. Consider, for example, a situation where three individuals of unknown affiliation launch an attack against a U.S. military convoy in Afghanistan. After a short engagement, the attackers get in a van and speed away from the attack site. The U.S. convoy is disabled, but an unmanned aerial vehicle tracks the van as it retreats into the desert. Thirty minutes later an AH-64 Apache attack helicopter arrives on scene above the still-retreating van. Can the Apache attack the vehicle? The van is retreating and poses no threat, thus self-defense principles would not allow for the use of force, despite the fact that the occupants are clearly directly participating in hostilities. This chapter addresses three questions: Why are the SROE drafted in this manner? What is the basis in the law for the SROE’s approach to self-defense? What are the problems presented by this approach?

scholarly journals Small UAV SHM System Functional Hazard Analysis

2021 ◽  
Vol 51 (2) ◽  
pp. 33-41
Author(s):  
Sławomir Klimaszewski ◽  
Krzysztof Sajda ◽  
Sergiusz Szawłowski
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Health Monitoring ◽  
Safety Assessment ◽  
Hazard Analysis ◽  
Assessment Process ◽  
Aircraft Systems ◽  
Small Uav ◽  
Remotely Piloted Aircraft ◽  
Aerial Vehicle ◽  
Safety Effect

Abstract The safety assessment process tailored to Remotely Piloted Aircraft Systems (RPAS) applications has been discussed briefly. The modified Hazard Reference System for STANAG 4703 Category UAV including Non Safety Effect (NSE) severity category has been proposed. The Functional Hazard Analysis (FHA) for small Unmanned Aerial Vehicle (UAV) Structural Health Monitoring (SHM) system has been conducted.

Measurement of Pesticide Drift from Unmanned Aerial Vehicle Application to a Vineyard

2018 ◽  
Vol 61 (5) ◽  
pp. 1539-1546 ◽  
Author(s):  
Colin R. Brown ◽  
Durham K. Giles
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Collection Efficiency ◽  
Spray Deposition ◽  
Air Samples ◽  
Remotely Piloted Aircraft ◽  
Pesticide Drift ◽  
Aerial Vehicle ◽  
Ground Deposition ◽  
Commercial Pesticide ◽  
Edge Based

Abstract. Unmanned aerial vehicles (UAVs) are now being used to perform commercial pesticide applications in California, but little information is available regarding the amount of pesticide drift resulting from these applications. The physical dimensions and operating speed of UAVs differ substantially from those of manned aircraft and fall outside the validated range of spray dispersion models. This study measured spray drift from a 0.84 ha aerial pesticide application of imidacloprid performed with a Yamaha R-Max II UAV over a Napa Valley vineyard. Downwind deposition samples, in-swath deposition samples, and downwind air samples were collected up to 48 m downwind of the application field. In-swath deposition samples measured approximately 57% of the target rate, while downwind drift deposition decreased from approximately 0.4% at 7.5 m downwind to 0.03% at 48 m downwind. All air samples were below the method detection limit. A drift deposition curve fitted to measured ground deposition using a log-log second-degree polynomial function yielded an R2 value of 0.985. An estimated 0.28% to 0.54% of applied material was lost as drift out to 50 m downwind of the field edge based on ground deposition measurements, 82% of which deposited within the first 7.5 m downwind. Uncertainty in mass accountancy and deposition measurements is discussed, with sources of error including obstructions in the downwind measurement area, low collection efficiency of the sampling media, a high coefficient of variation of spray deposition in the treatment field, and possible photodegradation of the tracer material. Keywords: Aerial application, AGDISP, Pesticide deposition, Pesticide drift, Remotely piloted aircraft, UAV, Unmanned aerial vehicle, Vineyard.

Manpower, Skill and Fatigue Analysis of Future Unmanned Aerial Vehicle (UAV) Environments

2002 ◽  
Vol 46 (23) ◽  
pp. 1905-1909 ◽  
Author(s):  
Brett Walters ◽  
Michael J. Barnes
Keyword(s):  
Human Factors ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Simulation Modeling ◽  
Cognitive Skills ◽  
Human Engineering ◽  
Military Operations ◽  
Aerial Vehicles ◽  
Aerial Vehicle ◽  
The U.S

Recent military operations conducted by the U.S. have brought to light several human factors challenges in regard to the control of unmanned aerial vehicles (UAVs). The purpose of this research was to examine the crew environment and soldier performance issues related to future UAV systems. Multiple studies were conducted using a variety of human engineering tools to address UAV crew issues related to: 1) the utility of having rated aviators as crewmembers, 2) supplementing current crews with imagery and intelligence specialists, 3) the use of automation to improve systems efficiency, and 4) the effects of crew size, rotation schedule, and fatigue on crewmember performance. No evidence was found to support a requirement for rated aviators in future Army missions. However, the use of cognitively oriented embedded training simulators was suggested to aid novices in developing the cognitive skills exhibited by experts. The effectiveness of adding imagery specialists to crews is discussed, as well as specific recommendations related to automation and crew size derived from simulation modeling.

Hearing Conservation in the U.S. Air Force

2004 ◽  
Vol 10 (1) ◽  
pp. 25-27
Author(s):  
Jonathan Thomas ◽  
Gabriel Almario
Keyword(s):  
Air Force ◽  
Hearing Conservation ◽  
The U.S

Study on Fault Diagnosis of Planetary Gearbox in Unmanned Aerial Vehicle Using Multi sensor Data

2020 ◽  
Vol 20 (4) ◽  
pp. 332-342
Author(s):  
Hyung Jun Park ◽  
Seong Hee Cho ◽  
Kyung-Hwan Jang ◽  
Jin-Woon Seol ◽  
Byung-Gi Kwon ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Unmanned Aerial Vehicle ◽  
Sensor Data ◽  
Planetary Gearbox ◽  
Aerial Vehicle

Results of Spatial Structure of Atmosphere Radiation in a Spectral Range (1.5–2) µm Research

2018 ◽  
pp. 7-13
Author(s):  
Anton M. Mishchenko ◽  
Sergei S. Rachkovsky ◽  
Vladimir A. Smolin ◽  
Igor V . Yakimenko
Keyword(s):  
Spatial Structure ◽  
Unmanned Aerial Vehicle ◽  
Wavelength Range ◽  
Spectral Range ◽  
Near Ir ◽  
Optoelectronic Systems ◽  
Aerial Vehicle

Results of experimental studying radiation spatial structure of atmosphere background nonuniformities and of an unmanned aerial vehicle being the detection object are presented. The question on a possibility of its detection using optoelectronic systems against the background of a cloudy field in the near IR wavelength range is also considered.

Positioning the Angle of Attack Sensor on an Unmanned Aerial Vehicle Wing

2016 ◽  
Vol 3 (1) ◽  
pp. 25-33
Author(s):  
Amir Birjandi ◽  
◽  
Valentin Guerry ◽  
Eric Bibeau ◽  
Hamidreza Bolandhemmat ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Angle Of Attack ◽  
Aerial Vehicle
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