Recent advancements in unmanned aerial vehicle (drone*) technology, sensors, and software applications have increased efficiency in data collection, reduced human error, and increased safety while managing a wide range of projects. No longer relegated solely to military use, drones have become synonymous with picturesque views of natural wonders and resources...
Unmanned Aerial System (UAS) technology is a rapidly developing technological marketspace. This thesis focuses on micro, tethered, coaxial UASs and the development of an electrically-tethered observation platform (ETOP). The thesis details the current status of the technology as well as current products on the market. Stability considerations, critical when adding...
Drones, or unoccupied aircraft systems (UAS), have become increasingly accessible and a widely used tool across disciplines. Off-the-shelf drones have, for instance, popularized and advanced wildlife research by providing a privileged birds’-eye view for collecting high-resolution imagery for morphometric and behavioral sampling, which was otherwise costly or impractical. Biologically meaningful...
Bridge inspections are vital for monitoring the health and serviceability of transportation infrastructure throughout the world. However, inspections can be logistically-challenging, expensive, and dangerous. For example, inspections may require climbing, as well as the use of scaffolding, ladders, rescue boats, bucket trucks, and/or under-bridge inspection vehicles. Small, multirotor unmanned aircraft...
Ground-based assessments of foliar diseases including leaf blight are time-consuming and costly. We investigated the potential for using an unmanned aerial system (UAS) in conjunction with a multispectral sensor to determine whether we could more efficiently and reliably detect and quantify leaf blight in Pacific madrones. Our methods included ground-based...
Unmanned aircraft systems (UAS), also known as drones, are an increasingly popular method of collecting surveying and mapping data. Two common drone-based mapping techniques are lidar and structure from motion (SfM) photogrammetry, and a frequently-heard (yet nearly impossible to answer) question is: “which is better?” The most common metric for...
Small Unmanned Aircraft Systems (sUASs) equipped with optical sensors are capableof remotely sensing landscapes and wildlife at spatial and temporal resolutions that werepreviously inaccessible due to technical and budgetary limitations. Conventional remotesensing and photogrammetric workflows can be applied to the resulting high resolution imageryto facilitate new types of scientific inquiry....
Many devices and methods for radiological searches are currently being developed, including scanning using simple detectors, mapping using large-volume detectors, and Compton imaging using 3-D position sensitive detectors. However, these devices are typically expensive and the methods used require long periods of time to generate a direction or location. The...
MANETs are known to be useful in situations where mobile nodes need to communicate and coordinate in dynamic environments with no access to fixed network infrastructure. However, connectivity problems can occur when sub-groups within a MANET move out of communication range from one another. The increasingly prolific use of UAVs...
This thesis addresses Micro Aerial Vehicle (MAV) control by leveraging learning based techniques to improve robustness of the control system. Applying classical control methods to MAVs is a difficult process due to the complexity of the control laws with fast and highly non-linear dynamics. These methods are mostly based on...
