Results 61 to 70 of about 241,334 (180)

Utilisation des données Google Street View pour cartographier la distribution géographique des espèces. Une étude préliminaire de la processionnaire du pin (Thaumetopoea pityocampa) [PDF]

open access: yes, 2012
Article publié suite à l'événement : MEDINSECT 3 ; Hammamet-Tunis (Tunisie) - (2012-05-08 - 2012-05-11).Mapping species distribution is an important and useful task to monitor invasive species spread or native species expansion under climate change ...
Dekri, Anissa   +10 more
core   +1 more source

An Enhancement of Outdoor Location-Based Augmented Reality Anchor Precision through VSLAM and Google Street View

open access: yesItalian National Conference on Sensors
Outdoor Location-Based Augmented Reality (LAR) applications require precise positioning for seamless integrations of virtual content into immersive experiences.
Komang Candra Brata   +3 more
semanticscholar   +1 more source

Spatially Varying Effects of Street Greenery on Walking Time of Older Adults

open access: yesISPRS International Journal of Geo-Information, 2021
Population aging has become a notable and enduring demographic phenomenon worldwide. Older adults’ walking behavior is determined by many factors, such as socioeconomic attributes and the built environment.
Linchuan Yang   +4 more
doaj   +1 more source

Performance Investigations of VSLAM and Google Street View Integration in Outdoor Location-Based Augmented Reality under Various Lighting Conditions

open access: yesElectronics
The growing demand for Location-based Augmented Reality (LAR) experiences has driven the integration of Visual Simultaneous Localization And Mapping (VSLAM) with Google Street View (GSV) to enhance the accuracy.
Komang Candra Brata   +4 more
semanticscholar   +1 more source

Google Street View Images as Predictors of Patient Health Outcomes, 2017–2019

open access: yesBig Data and Cognitive Computing, 2022
Collecting neighborhood data can both be time- and resource-intensive, especially across broad geographies. In this study, we leveraged 1.4 million publicly available Google Street View (GSV) images from Utah to construct indicators of the neighborhood ...
Quynh C. Nguyen   +12 more
doaj   +1 more source

Technische hulpmiddelen en doelwitselectie bij woninginbraak: een experimenteel onderzoek naar de invloed van Google Maps en Google Street View [PDF]

open access: yes, 2012
Technologische vooruitgang heeft een grote impact op het dagelijkse leven van veel burgers. De informatie die beschikbaar is kan echter ook criminelen (bijvoorbeeld inbrekers) helpen bij het selecteren van een doelwit.
Ledure, Efien   +4 more
core   +1 more source

LiDAR-assisted Large-scale Privacy Protection in Street-view Cycloramas [PDF]

open access: yes, 2019
Recently, privacy has a growing importance in several domains, especially in street-view images. The conventional way to achieve this is to automatically detect and blur sensitive information from these images.
Bondarev, Egor   +3 more
core   +2 more sources

Retrospective analysis of regional and metropolitan school food environments using Google Street View: A case study in New South Wales, Australia with youth consultation

open access: yesHealth Promotion Journal of Australia
Issue Addressed Food environments surrounding schools have a strong influence on the adolescent's food choices. Moreover, the prevalence of diet‐related chronic diseases is higher in regional than metropolitan areas in Australia.
K. Tse   +10 more
semanticscholar   +1 more source

Using Google Street View to examine associations between built environment characteristics and U.S. health outcomes

open access: yesPreventive Medicine Reports, 2019
Neighborhood attributes have been shown to influence health, but advances in neighborhood research has been constrained by the lack of neighborhood data for many geographical areas and few neighborhood studies examine features of nonmetropolitan ...
Quynh C. Nguyen   +10 more
doaj   +1 more source

Automated building image extraction from 360{\deg} panoramas for postdisaster evaluation

open access: yes, 2019
After a disaster, teams of structural engineers collect vast amounts of images from damaged buildings to obtain new knowledge and extract lessons from the event. However, in many cases, the images collected are captured without sufficient spatial context.
Bilionis, Ilias   +3 more
core   +1 more source

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