Index Catalog // ScholarsArchive@OSU

GOSEP: Georeferenced Oregon Soil Engineering Properties

Creator:: Dutille, Victoria L.
Abstract:: Geotechnical engineers design and analyze the interface between the natural and built environments, often based on uncertain and inherently variable data due to the nature of the building material, soil. Engineers must estimate the subsurface conditions at a site using historical, in-situ, and laboratory testing data. However, only discrete representative...
Resource Type:: Capstone Project
Full Text:: practical project presented herein. I thank Dr. Michael Olsen, for his patience and support, especially

An Analysis of Driver's Visual Attention When Exposed to Roadside Drone Operations

Creator:: Sova, Alden
Abstract:: Drones are being used increasingly in the transportation sector for roadside applications such as surveying, structural inspection, and traffic monitoring, which raises distraction concerns for drivers. This study examines the visual attention of a group of Oregon drivers to determine drones’ potential as distracting roadside elements. Eye tracking data was...
Resource Type:: Honors College Thesis
Full Text:: _____________________________________________________________________ Michael Olsen, Committee Member, representing Civil Engineering

Seamless Topobathymetric River Mapping Through Multi-Sensor Data Integration: Lidar, Sonar, RTK GNSS and Structure from Motion

Creator:: Kellum, Kory and Kellum, Kory E.
Abstract:: Seamless, high-resolution topobathymetric digital elevation models (DEMs) of rivers are important for generating hydrodynamic models, studying water quality and related ecological issues, modeling flood vulnerability, and numerous other applications. However, such DEMs can be difficult to generate, due to a lack of topographic and bathymetric source data. Even where the...
Resource Type:: Capstone Project

Enhancing Detection of Marine Debris with Polarimetric Imagery

Creator:: Herrera, Frederick Kyle
Abstract:: Marine debris is a chronic and increasingly pervasive problem for coastal regions around the world. Debris poses environmental risks, threats to wildlife, and degradation of the natural environment. Recent research has shown the advantages of uncrewed aircraft systems (UAS) for detection and recognition of marine debris, including the ability to...
Resource Type:: Masters Thesis
Full Text:: science presented in this paper. • Michael Starek and Jacob Berryhill from Texas A&M Corpus Christi for

A Multivariate Comparison of Drone-Based Structure from Motion and Drone-Based Lidar for Dense Topographic Mapping Applications

Creator:: Simpson, Chase H.
Abstract:: 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...
Resource Type:: Masters Thesis

Analysis of bio-based composites for image segmentation with the aid of games

Creator:: Inouye, Jennifer A.
Abstract:: A fundamental problem in computer vision is to partition an image into meaningful segments. While image segmentation is required by many applications, the thesis focuses on segmentation of computed tomography (CT) images for analysis and quality control of composite materials. The key research contribution of this thesis is a novel...
Resource Type:: Masters Thesis

Evaluating Methods of Aligning Real-Time GNSS Networks to the National Spatial Reference System

Creator:: Ohene, William
Abstract:: Aligning Real-Time Networks (RTNs) with the National Spatial Reference System (NSRS) is crucial to ensure accuracy, consistency, interoperability, and long-term data integrity for geospatial applications. However, the effectiveness of different alignment methods as well as the need for monitoring approaches to maintain alignment consistency with the NSRS have not yet...
Resource Type:: Masters Thesis
Full Text:: Abstract approved: ______________________________________________________ Michael Olsen

Efficient Topobathymetric Mapping and 3D Spatial Analysis of Estuaries Using Multi-Platform, Multi-Temporal Data

Creator:: Lambert, Selina E.
Abstract:: Frequent 3D spatial mapping of estuaries is critical to understanding and modeling changes that can impact ecological health (e.g., water quality) and ecosystem services (e.g., aquaculture, nutrient cycling, and shoreline stabilization). However, obtaining accurate, repeat topobathymetric data for estuaries is a major challenge. Because shallow estuaries are typically not used...
Resource Type:: Masters Thesis
Full Text:: Department as well as the academic support of Dr. Michael Olsen and Andrew Senogles. I would also like to

Deep Perception Without a Camera: Enabling 3D Reconstruction and Object Recognition using Lidar and Sonar Sensing

Creator:: DeBortoli, Robert A.
Abstract:: Deep learning has recently revolutionized robot perception in many canonical robotic applications, such as autonomous driving. However, a similar transformation has yet to occur in more harsh environments including underwater and underground. This is due in part to the difficulty in deploying robots in these environments, which lack large real...
Resource Type:: Dissertation
Full Text:: re- search directions. I would like to thank my committee members Cindy Grimm, Michael Olsen, and

An investigation into the role of spatial variability on liquefaction consequence severity

Creator:: Cary, John R.
Abstract:: During the Canterbury Earthquake Sequence (CES) in Christchurch, NZ, an estimated $15B in damages occurred due to liquefaction-induced phenomena, illustrating the importance of understanding site-specific responses to seismic ground motions, as well the importance of accurately predicting liquefaction severity. One potential method for improving the understanding of how a site...
Resource Type:: Masters Thesis

ScholarsArchive@OSU

GOSEP: Georeferenced Oregon Soil Engineering Properties

An Analysis of Driver's Visual Attention When Exposed to Roadside Drone Operations

Seamless Topobathymetric River Mapping Through Multi-Sensor Data Integration: Lidar, Sonar, RTK GNSS and Structure from Motion

Enhancing Detection of Marine Debris with Polarimetric Imagery

A Multivariate Comparison of Drone-Based Structure from Motion and Drone-Based Lidar for Dense Topographic Mapping Applications

Analysis of bio-based composites for image segmentation with the aid of games

Evaluating Methods of Aligning Real-Time GNSS Networks to the National Spatial Reference System

Efficient Topobathymetric Mapping and 3D Spatial Analysis of Estuaries Using Multi-Platform, Multi-Temporal Data

Deep Perception Without a Camera: Enabling 3D Reconstruction and Object Recognition using Lidar and Sonar Sensing

An investigation into the role of spatial variability on liquefaction consequence severity

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