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Skip to Search Results- 31Computer Vision
- 19Remote Sensing
- 11Machine Learning
- 8Deep Learning
- 4Convolutional Neural Networks
- 33D Reconstruction
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A Data Driven Approach to Creating a Traffic Sign Asset Inventory using Remote Sensing Technology
DownloadSpring 2019
Traffic signs play a critical role in the safety and efficiency of any roadway, but with limited information on the current status of traffic sign inventories, the placement and condition of traffic signs goes largely unchecked. Therefore, the collection of a complete traffic sign inventory (TSI)...
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A Framework for Associating Mobile Devices to Individuals Based on Identification of Motion Events
DownloadFall 2020
The ubiquity of the Internet-of-Things (IoT) devices in everyday life allows various sensors to be utilized in networked systems for solving a number of real-world problems. Models utilizing specific sensing modalities achieve impressive performance in understanding human activity and are used in...
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Spring 2022
Data augmentation is a strong tool for enhancing the performance of deep learning models using different techniques to increase both the quantity and diversity of training data. Cutout was previously proposed, in the context of image classification, as a simple regularization technique that...
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Above, Beneath, and Within: Collaborative and Community-Driven Archaeological Remote Sensing Research in Canada
DownloadSpring 2020
This thesis investigates the application of geophysics and remote sensing techniques in community-driven and collaborative archaeology research in Canada. While these techniques have become common among some archaeologists, they have yet to be extensively used within the lens of Indigenous...
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Advancing Forest Health Monitoring: Harnessing the Power of Deep Learning Computer Vision for Remote Sensing Applications
DownloadFall 2023
Forests provide immense economic, ecological, and societal values, making forest health monitoring (FHM) a crucial task for guiding conservation and management of these essential ecosystems. Drones have seen increased popularity in this domain due to their ability to collect high-resolution,...
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An Integrated 3D Safety-based Approach for the Design of Horizontal Curves using Reliability Analysis and LiDAR Data
DownloadSpring 2022
Safety-based design can be described as an approach in which safety is considered a core design input and the safety performance of proposed designs that follow this approach can be expected. Although current-day highway design guidelines are constantly updated to incorporate recent advances in...
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Spring 2017
The slow movement of historic landslides is a constant reality in the Thompson River Valley, with twelve such slides located within ten kilometers of the town of Ashcroft, B.C. alone. Beginning at the end of the 19th century, numerous rapid slope failures were reported by local residents and the...
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Spring 2023
3D reconstruction of quadruped animals is a challenging problem, where key issues lie in their large shape variety and deformation within the same animal species as well as the lack of sufficient training data. In this thesis, we present two approaches toward this task. Our first approach is a...
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Spring 2021
This thesis applies computer vision and machine learning techniques to three engineering projects: a self-driving vehicle, a predictive display system, and a vision-based robot manipulator joint detector. In the first project, we build a remote-controlled car and implement three core self-driving...
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Assessing Ecosystem Productivity Through the Integration of Micrometeorology and Optical Remote Sensing
DownloadSpring 2020
The main goal of this thesis is to contribute to the growing body of scientific work by exploring mechanisms of ecosystem productivity through the integration of remote sensing and micrometeorological data. This was done throughout by (i) identifying the environmental mechanisms affecting...