This guide serves as a starting point to help you find information and resources on the subject of Unmanned Aircraft Systems (UAS). Explore the navigation menu to find books, databases, journals, websites, and more.
The sUAS Consumer Guide has been prepared to assist a wide variety of users, especially novices, to evaluate options for purchase, appropriate to their skill and experience levels, while introducing key metrics for future consumer sUAS comparison.
The new Quarterly Insight from AUVSI Research will help you do just that. Get a summary of everything that’s happened in Q1, alongside projections for the year ahead, including: the latest advocacy and policy updates; preliminary results from our industry-wide economic survey; updates and analysis on the latest trends in uncrewed air systems; and analysis of the DoD’s FY 2024 budget for uncrewed vehicles.
The purpose of this circular is to:
a) apprise States of the emerging ICAO perspective on the integration of UAS into non-segregated airspace and at aerodromes;
b) consider the fundamental differences from manned aviation that such integration will involve; and
c) encourage States to help with the development of ICAO policy on UAS by providing information on their own experiences associated with these aircraft.
The May/June 2017 issue of FAA Safety Briefing focuses on the exciting and ever-expanding world of Unmanned Aircraft Systems (UAS). Feature articles answer the Who, What, Where, When, Why, and How of UAS operations, including the regulatory and technical challenges they present.
A roadmap to articulate a vision and strategy for the continued development, production, test, training, operation, and sustainment of unmanned systems technology across the Department of Defense (DoD).
The report presents MarketLine's case study on the economic case for unmanned aerial vehicles (UAVs), colloquially known as drones. Topics discussed include the use of UAVs for both commercial and military purposes, the costs and limitations of UAVs, and their transformative potential once perfected.
A review and analysis of unmanned aircraft (UA) accident data was conducted to identify important human factors issues related to their use. UA accident data were collected from the U.S. Army, Navy, and Air Force. Classification of the accident data was a two-step process. In the first step, accidents were classified into the categories of human factors, maintenance, aircraft, and unknown. Accidents could be classified into more than one category. In the second step, those accidents classified as human factors-related were classified according to specific human factors issues of alerts/alarms, display design, procedural error, skill-based error, or other. Classification was based on the stated causal factors in the reports, the opinion of safety center personnel, and personal judgment of the author. The percentage of involvement of human factors issues varied across aircraft from 21% to 68%. For most of the aircraft systems, electromechanical failure was more of a causal factor than human error. One critical finding from an analysis of the data is that each of the fielded systems is very different, leading to different kinds of accidents and different human factors issues. A second finding is that many of the accidents that have occurred could have been anticipated through an analysis of the user interfaces employed and procedures implemented for their use. This paper summarizes the various human factors issues related to the accidents.
The current experiment was intended to examine the effect of sensory information on pilot reactions to system failures within a UAS control station simulation. This research also investigated the level of automation used in controlling the aircraft and the level of manned flight experience of the participants, since these also have been shown to influence pilot effectiveness. While the presence of sound did improve responses to engine failures, it did not improve responses to failures in heading control. The prediction that higher levels of automation would lead to complacency or vigilance decrements was not supported. The finding that pilots, in the manual conditions, flew significantly closer to the flight path than non-pilots was unexpected. The results suggest differences between those with manned aircraft experience and those without, but it is unclear whether these differences are due to manned aircraft training and flight experience or whether other factors, such as personality, may be evident.
For manned aircraft, the presence of multi-sensory inputs is a given. Pilots of manned aircraft might not even be aware of the availability of several different types of sensory inputs occurring at the same time. However, it is likely that each type of input has a reinforcing effect on the others that allows for a rapid diagnosis and response of both normal and unusual events in the cockpit. The situation for the pilot of an Unmanned Aircraft System (UAS) is much different. UAS pilots receive information regarding the state and health of their aircraft solely through electronic displays. This report includes a comparison of manned sensory information to sensory information available to the unmanned aircraft pilot, a review of remediations for sensory deficiencies from the current UAS inventory, a review of human factors research related to enhancing sensory information available to the UAS pilot, and a review of current FAA regulations related to sensory information requirements. Analyses demonstrated that UAS pilots receive less and fewer types of sensory information, compared with manned aircraft pilots. One consequence is the enhanced difficulty for UAS pilots to recognize and diagnose anomalous flight events that could endanger the safety of the flight. Recommendations include the incorporation of multisensory alert and warning systems into UAS control stations.
An inventory of control systems for unmanned aircraft was completed for 15 systems from nine separate manufacturers. To complete the inventory, a taxonomy of control architectures was developed. The taxonomy identified four levels of horizontal aircraft control, four levels of vertical control, and three levels of speed control. The most automated level of control was a waypoint-level that was found to be present in all of the systems inventoried. Implications of these levels of control on design are discussed.
This research study was undertaken to create recommendations for unmanned aircraft pilot medical certification requirements. The effort consisted of the convening of a panel of subject matter experts and interactions with groups engaged in the process of establishing unmanned aircraft pilot guidelines. The results of this effort were a recommendation and justification for use of the second-class medical certification.
This research focuses on three types of flight control problems associated with unmanned aircraft systems. The three flight control problems are: 1) external pilot difficulties with inconsistent mapping of the controls to the movement of the aircraft; 2) difficulties associated with the transfer of control from one control location to another during the flight; and 3) problems associated the automation of flight control. Specific accidents associated with each type of control problem are given as examples. The accidents involve several different aircraft systems that are currently in use. Solutions for each type of control problem are offered.