Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 8 of 8 for “"Street View Images"”.
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Assessing Bikeability in Virginia: A Comparison of CHATGPT-4o and Traditional Models
… study evaluates cycling friendliness by using Street View Images (SVIs) and deep learning models to assess street-level features associated with the cycling environment in Virginia. An image segmentation model, PixelLib, was used to extract the proportion of seven features, namely greenery, …
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Image-based recognition, 3D localization, and retro-reflectivity evaluation of high-quantity low-cost roadway assets for enhanced condition assessment
… high-quantity low-cost roadway assets using both images collected by the DOTs and online databases such Google Street View Images. To address the new requirements of US Federal Highway Administration (FHWA), a new method is also developed that simulates nighttime visibility of traffic signs from …
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A Novel Multistage Image Registration Technique with Graph-based Region Descriptors
… The geometric and photometric variations between images adversely affect the ability for an algorithm to estimate the transformation parameters that relate the two images. Local deformations, lightning conditions, object obstructions, and perspective differences all contribute to the challenges …
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Classification of road side material using convolutional neural network and a proposed implementation of the network through Zedboard Zynq 7000 FPGA
… of a CNN depends mostly on the number of images used to train the network, which requires a hundred thousand to a million images. Therefore, a reduced training alternative called transfer learning is used, which takes advantage of features from a pre-trained network and applies these …
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Understanding the impact of built environment on travel behaviour with activity-based modelling: Evidence from Beijing
… ‘third dimension’ of the built environment — the street facades. A machine learning-based method is proposed to automatically evaluate the qualities of street facades from street view images. Scenario analyses using the proposed model show that, both commute and non-commute travel are more …
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Spatiotemporal Event Forecasting and Analysis with Ubiquitous Urban Sensors
… activity statistics, social media messages, and street imagery. The development of methods for heterogeneous urban data-based event identification and impacts analysis for a variety of event topics and assumptions is the subject of this dissertation. A graph convolutional neural network for crime …
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Into the city: A Multi-Disciplinary Investigation of Urban Life
… by census information, geographical data, and images, and human behaviour proxied by extracted from mobile phone traces. The contribution of our thesis is two-fold. First, we present novel methods to describe urban vitality, by collecting and combining heterogeneous data sources. Second, we …
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Leveraging Street View and Remote Sensing Imagery to Enhance Air Quality Modeling through Computer Vision and Machine Learning
… datasets and their associated features (e.g., street view imagery, remote sensing imagery) have emerged and show potential to augment or replace traditional LUR predictors. Such imagery data sources embody abundant information of natural and built environment features. Advanced computer vision …