Unmanned Aircraft Systems: Factors That Affect The Acceptance Of Unmanned Aircraft Usage Within The United States National Airspace System

Unmanned aircraft have been around since before the Wright brothers took flight in 1903. Even though unmanned aircraft have had a history that well exceeds the century of manned aviation, they were primarily used by the military, and were mostly outside the public\u27s purview. In recent years unmanned aircraft have made a giant leap from military use to commercial use within the United States and around the world. While pilots and operators flying these aircraft may have accepted the technology and its future potential; the public might have a different point of view on utilization over their home, town, state, or country. Numerous articles suggest that the public of the United States has a long history of determining which technologies will be readily accepted, slowly adopted, or fail before becoming commonplace. This thesis examines important issues regarding public perception of Unmanned Aircraft Systems (UAS), their use in the United States, where they fly, and, specifically, their use in a law enforcement setting. The study found that the public has a lower acceptance rate for unmanned aircraft than manned aircraft. Public perception of unmanned aircraft may create obstacles for the usage of this technology for law enforcement purposes

Cities and Drones: What Cities Need to Know about Unmanned Aerial Vehicles (UAVs)

NLC's municipal guide, Cities and Drones, is designed to serve as a primer on drones for local officials, providing insight into the recently released federal rules relating to drone operation, as well as offering suggestions for how local governments can craft their own drone ordinances to encourage innovation while also protecting their cities.Drones have the potential to revolutionize many industries and city services, particularly as their technology advances. There are many applications for drones within the public sector at the local and state level. Drones can be used for law enforcement and firefighting, as rural ambulances, and for inspections, environmental monitoring, and disaster management. Any commercial arena that involves outdoor photography or visual inspection will likely be experimenting with drones in the near future, as will retailers who want to speed up package delivery.However, drones also present challenges. There are some safety issues, for instance, when operators fly their drones over people or near planes. City residents often have privacy concerns when any small device hovering nearby could potentially be taking photos or video. The FAA's final rule on drones left some opportunity for city governments to legislate on this issue. Rather than ban them outright, city officials should consider how this new technology might serve residents or enhance city services

Visual Detection of Small Unmanned Aircraft: Modeling the Limits of Human Pilots

The purpose of this study was to determine the key physical variables for visual detection of small, Unmanned Aircraft Systems (UAS), and to learn how these variables influence the ability of human pilots, in manned-aircraft operating between 60-knots to 160-knots in the airport terminal area, to see these small, unmanned aircraft in time to avoid a collision. The study also produced a set of probability curves for various operating scenarios, depicting the likelihood of visually detecting a small, unmanned aircraft in time to avoid colliding with it. The study used the known limits of human visual acuity, based on the mechanics of the human eye and previous research on human visual detection of distant objects, to define the human performance constraints for the visual search task. The results of the analysis suggest the probability of detection, in all cases modeled during the study, is far less than 50 percent. The probability of detection was well under 10 percent for small UAS aircraft similar to the products used by many recreational and hobby operators. The results of this study indicate the concept of see-and-avoid is not a reliable technique for collision prevention by manned-aircraft pilots when it comes to operating near small, unmanned aircraft. Since small, unmanned aircraft continue to appear in airspace where they do not belong, regulators and the industry need to accelerate the development and deployment of alternative methods for collision prevention between sUAS aircraft operations and manned-aircraft. The analysis effort for this study included the development of a new simulation model, building on existing models related to human visual detection of distant objects. This study extended existing research and used currently accepted standards to create a new model specifically tailored to small, unmanned aircraft detection. Since several input variables are not controllable, this study used a Monte Carlo simulation to provide a means for addressing the effects of uncertainty in the uncontrollable inputs that the previous models did not handle. The uncontrollable inputs include the airspeed and direction of flight for the unmanned aircraft, as well as the changing contrast between the unmanned aircraft target and its background as both the target aircraft and the observer encounter different background and lighting conditions. The reusable model created for this study will enable future research related to the visual detection of small, unmanned aircraft. It provides a new tool for studying the difficult task of visually detecting airborne, small, unmanned aircraft targets in time to maneuver clear of a possible collision with them. The study also tested alternative input values to the simulation model to explore how changes to small, unmanned aircraft features might improve the visual detectability of the unmanned aircraft by human pilots in manned aircraft. While these changes resulted in higher probabilities of detection, the overall detection probability remained very low thereby confirming the urgent need to build reliable collision avoidance capability into small UAS aircraft