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 18 of 18 for “"Google Street View"”.
-
A Machine Learning Approach to Recognize Environmental Features Associated with Social Factors
… by extracting five environmental features from Google Street View (GSV) images. The five environmental features are garbage bags, greenery, and three distinct road damage types (longitudinal, transverse, and alligator cracks), which were identified using image classification, object detection, …
-
Image-based recognition, 3D localization, and retro-reflectivity evaluation of high-quantity low-cost roadway assets for enhanced condition assessment
… 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 images taken during daytime and measures their …
-
Jaywalking Index: Visual and Socio-demographic Patterns in London
… to segment 280,000 images obtained from Google Street View. Key findings encompass the sociodemographic profiles of jaywalkers and the formulation of a jaywalking index, which serves as an initial tool for identifying areas warranting further investigation in urban design. This index aids …
-
Extracting curbside storm drain locations from street-level images
… locations from natural images along surface street curbsides. Existing storm drain infrastructure information is commonly reposed by managing agencies in either paper or digital format. Access to these data for urban hydrologic and hydraulic modeling purposes may be limited by security …
-
Exploring the Overlap, Saliency, and Consistency of Environmental Predictors in Crime Hot Spots: A Remote Systematic Social Observation and Case-Control Examination
… identify the situational predictors of hot spot street segments relative to empirical controls in Indianapolis for several different crime types. Hot spot and control units will be compared based on the presence of spatially joined crime generators and attractors and environmental disorder …
-
Access to nature and adolescents’ psychological well-being
… these issues, this dissertation includes a review of the current literature and two empirical studies: the Window View study and the Nature Tracking study. In the Window View study, I hypothesize that views to green landscapes help students recover from mental fatigue and stress. To test these …
-
Cognitive Map Generation for Vision and Language Navigation
… Additionally, panoramic images sourced from Google Street View are processed using Large Multimodal Models (LMMs) to generate comprehensive visual descriptions of the environment.</p> <p>The system first applies incremental alignment based on instruction order and heading direction to …
-
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, …
-
Extração e organização contextualizada de fachadas de edificações
Ferramentas de visualização de ruas como Google Street View tem ganhado cada vez mais importância em pesquisas e auxiliando na análise de dados urbanos e geográficos. Com o avanço deste tipo de tecnologia, somos capazes de nos transportar virtualmente para as mais distantes regiões ao redor do …
-
Classification of road side material using convolutional neural network and a proposed implementation of the network through Zedboard Zynq 7000 FPGA
… tested: 32 and 16 Neuron inputs with 239 labeled Google street view images on a single CPU. The result of the training gives 52.8% and 35.2% accuracy respectively for 250 test images. In the second part of the research, High Level Synthesis (HLS) hardware model of the network with 16 Neuron inputs …
-
New insights into understanding urban traffic emissions using novel mobile air quality measurements in the Breathe London pilot study
… As part of the Breathe London project, two Google Street View Cars (based at the National Physical Laboratory) were fitted with air quality monitoring instrumentation and were driven across London over approximately a one year period. These mobile laboratories used a range of reference …
-
Geolocation of Utility Assets Using Omnidirectional Ground-Based Photographic Imagery
A process for using ground-based photographic imagery to detect and locate power distribution assets is presented. The primary feature of the system presented here is it's very low cost compared to more traditional inspection methods because the process takes place entirely in virtual space. …
-
Does Urbanization Facilitate the Establishment of Introduced Monk Parakeet (Myiopsitta monachus) Populations?
… find nest locations that were then confirmed by Google Street View. I created buffered areas around each of 280 nest locations and random points (presumed absence locations) at three different radii: 100 m, 250 m, and 500 m. I found that Monk Parakeet nests are more likely to occur in areas with …
-
Enriquecendo bases de dados geoespaciais oficiais: uma abordagem híbrida para integração de topônimos colaborativos validados com inteligência artificial
… de mapeamento colaborativo, como o OpenStreetMap (OSM), oferecem um fluxo contínuo e dinâmico de topônimos baseados no conhecimento local de voluntários. Contudo, a integração confiável desses dados em produtos oficiais carece de métodos sistemáticos para avaliar qualidade e validade …
-
El papel del turismo en la reconfiguración de la ciudad. Overtourism y turistificación comercial en centros históricos
… método basado en fuentes no convencionales como Google Street View, trabajo de campo, integración de datos comerciales y espaciales mediante Sistemas de Información Geográfica (SIG) y técnicas cualitativas para aproximarse a las percepciones de los agentes implicados. Todo ello con la finalidad …
-
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 …
-
Evaluating and understanding how interventions work to encourage shifts towards active travel
… part of my research involves a systematic review comparing the effectiveness of carrot, stick, and a combination of the two, or carrot-and-stick transport interventions. Interventions with a stick strategy, such as those with functions involving taking away road space or leading to decreases …
-
New Opportunities in Crowd-Sourced Monitoring and Non-government Data Mining for Developing Urban Air Quality Models in the US
… platform), and (3) base-case models adding Google point of interest (POI) data for area sources. Models with Google POI data performed the best; for example, the total VOC (TVOC) model had better goodness-of-fit (adj-R2: 0.56; Root Mean Square Error [RMSE]: 0.32 µg/m3) as compared to the …