Management and Operations Commons^™

Uav-Based Sensor Integration For In-Situ Lake Water Quality Monitoring, Alec R. Campbell

Biological and Agricultural Engineering Undergraduate Honors Theses

Surface water monitoring is often constrained by limited spatial and temporal coverage due to the labor-intensive nature of traditional sampling methods, particularly in environments that are difficult to access or pose safety risks. Unmanned aerial vehicles (UAVs) offer a promising solution by enabling more frequent, spatially distributed, and cost-effective data collection. This study presented the design, development, and field evaluation of a UAV-based system for real-time, in-situ water quality monitoring. The system integrated multiple sensors, including oxidation-reduction potential (ORP), RGB spectrometry, pH, electrical conductivity (EC), dissolved oxygen (DO), and a multispectral spectrometer within a UAV platform.

Field testing was conducted …

Determining The Difference In Monthly Hazardous Uas Sightings Pre- And Post-Trust​, Jacob Daniel Anderson, Kyle Beane, Ethan Ryan Prins, Brooke Wheeler

Aeronautics Student Publications

Unmanned Aerial Systems (UASs) present a significant challenge to regulators. This study determined that there was no statistically significant difference in monthly UAS sightings before and after the implementation of TRUST.

A New Trajectory In Uav Safety: Leveraging Reinforcement Learning For Distance Maintenance Under Wind Variations, Xiaolin Xu, Jeffrey Sun

Journal of Aviation/Aerospace Education & Research

In the field of aviation, safety is a critical cornerstone, and the operation of Unmanned Aerial Vehicle (UAV) systems is deeply connected with this principle. A thorough analysis and rigorous simulation and testing of aircraft systems are essential to avoid severe safety hazards. This paper delves into the safety issue in UAV operations, specifically regarding maintaining minimum safety distances under fluctuating wind conditions. The study introduces a novel solution based on a Deep Deterministic Policy Gradient (DDPG) model, a reinforcement learning method. The DDPG model was trained using a simulated environment created through the Gazebo simulator, with values for wind …

Enhancing Trajectory-Based Operations For Uavs Through Hexagonal Grid Indexing: A Step Towards 4d Integration Of Utm And Atm, Deepudev Sahadevan Neelakandan, Hannah Al Ali

International Journal of Aviation, Aeronautics, and Aerospace

Aviation is expected to face a surge in the number of manned aircraft and drones in the coming years, making it necessary to integrate Unmanned Aircraft System Traffic Management (UTM) into Air Traffic Management (ATM) to ensure safe and efficient operations. This research proposes a novel hexagonal grid-based 4D trajectory representation framework for unmanned aerial vehicle (UAV) traffic management that overcomes the limitations of existing square/cubic trajectory representation methods. The proposed model employs a hierarchical indexing structure using hexagonal cells, enabling efficient ground based strategic conflict detection and conflict free 4D trajectory planning. Additionally, the use of Hexagonal Discrete Global …

Conceptual Design Of A South Pole Carrier Pigeon Uav, Kendrick M. Dlima

Master's Theses

Currently, the South Pole has a large data problem. It is estimated that 1.2 TB of data is being produced every day, but less than 500 GB of that data is being uploaded via aging satellites to researchers in other parts of the world. This requires those at the South Pole to analyze the data and carefully select the parts to send, possibly missing out on vital scientific information. The South Pole Carrier Pigeon will look to bridge this data gap.

The Carrier Pigeon will be a small unmanned aerial vehicle that will carry a 30 TB solid-state hard drive …

Product Development Process For Small Unmanned Aerial Systems, Jonathan D. Poole

Theses and Dissertations

The DoD has recognized the need for persistent Intelligence, Surveillance and Reconnaissance (ISR) over the last two decades. Recent developments with commercial drones have changed the market structure; there is now a thriving and extensive market base for drone based remote sensing. This research provides system engineering methods to support the DoD use of this burgeoning market to meet operational ISR needs. The three contributions of this research are: a process to support Small Unmanned Aerial Systems (SUAS) design, tools to support the design process, and tools to support risk assessment and reduction for both design and operations. The process …

Unmanned Aerial Systems: Research, Development, Education & Training At Embry-Riddle Aeronautical University, Michael P. Hickey

Publications

With technological breakthroughs in miniaturized aircraft-related components, including but not limited to communications, computer systems and sensors, state-of-the-art unmanned aerial systems (UAS) have become a reality. This fast-growing industry is anticipating and responding to a myriad of societal applications that will provide new and more cost-effective solutions that previous technologies could not, or will replace activities that involved humans in flight with associated risks.

Embry-Riddle Aeronautical University has a long history of aviation-related research and education, and is heavily engaged in UAS activities. This document provides a summary of these activities, and is divided into two parts. The first part …

A Novel Approach For Missing Combat Support Aircraft Search Acceleration Using Vtol Uas, Mohammed Ba Zuhair, Wisam Yousef, Issam Samara, Vladislav Varsegov

International Journal of Aviation, Aeronautics, and Aerospace

In this paper, an approach to accelerate search operations for a missing combat support aircraft using a portable waterproof autonomous vertical takeoff and landing unmanned aerial system called “flying locator beacon” is described. The latter is connected with both flight data and cockpit voice recorders with a parallel bus and may be deployed from the empennage during extreme emergency scenarios, which is detected when few flight parameters are overrun leading to an air crash stimulating behavior. Landing of the flying locator beacon strictly takes place on global latitude and longitude coordinates only of integer values enabling significant minimization of search …

Effects Of System Reliability And Time Pressure On Autonomous Unmanned Aerial Vehicle Operator Performance And Mental Workload, Dahai Liu, Rania Ghatas, Christina Frederick-Recascino, Dennis Vincenzi Ph.D.

International Journal of Aviation, Aeronautics, and Aerospace

Unmanned Aerial Vehicles (UAVs) are in the midst of aviation’s next generation. UAVs are being utilized at an increasing rate by military and security operations and are becoming widely popular in usage for activities such as search and rescue and weather research to homeland security and border patrol. In order for a safer integration of UAV’s within the National Airspace System (NAS), many research questions need to be addressed. This study examined the effects of system reliability and time pressure on UAV operator performance and mental workload. Twenty-four undergraduate and graduate students, male and female, from Embry-Riddle Aeronautical University participated …