Results 11 to 20 of about 180,114 (174)
Method for Applying Crowdsourced Street-Level Imagery Data to Evaluate Street-Level Greenness
ISPRS International Journal of Geo-Information, 2023 Street greenness visibility (SGV) is associated with various health benefits and positively influences perceptions of landscape. Lowering the barriers to SGV assessments and measuring the values accurately is crucial for applying this critical landscape ...
Xinrui Zheng, Mamoru Amemiya
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Maps apps, street level imagery live as traffic information
Architecture Image Studies Scientific Journal, 2021 Map applications use very distinct times for updating satellite, traffic information or street level imagery. Street level imagery is the less updated and traffic information is updated continuously. Having as departure point the analysis of traffic data
Pedro Soares Neves
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Urban Function Recognition at Street Level by Integrating Taxi Trajectory and Street-Level Imagery
Redai diliUrbanization in China has entered a new phase that emphasizes both scale expansion and quality improvement. This has led to demands on urban functional structures and rational urban planning.
Guo Haijing +4 more
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Characterizing the perception of urban spaces from visual analytics of street-level imagery. [PDF]
AI Soc, 2022 This project uses machine learning and computer vision techniques and a novel interactive visualization tool to provide street-level characterization of urban spaces such as safety and maintenance in urban neighborhoods. This is achieved by collecting and annotating street-view images, extracting objective metrics through computer vision techniques ...
Freitas F, Berreth T, Chen YC, Jhala A.
europepmc +3 more sources
Crowdsourced Street-Level Imagery as a Potential Source of In-Situ Data for Crop Monitoring [PDF]
Land, 2018 New approaches to collect in-situ data are needed to complement the high spatial (10 m) and temporal (5 d) resolution of Copernicus Sentinel satellite observations.
Raphaël d’Andrimont +5 more
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Leveraging Street Level Imagery for Urban Planning [PDF]
Environment and Planning B: Urban Analytics and City Science, 2022 There is an old saying that a picture is worth a thousand words, but what if the picture or image is geographical in nature? With popular sites like Flickr and Instagram, and high quality cameras and GPS in smartphones, a proliferation of georeferenced photographs have become available.
Crooks, A., See, L.
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Geographies, 2023 The creation of crop type maps from satellite data has proven challenging and is often impeded by a lack of accurate in situ data. Street-level imagery represents a new potential source of in situ data that may aid crop type mapping, but it requires ...
Fernando Orduna-Cabrera +8 more
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ISPRS International Journal of Geo-Information, 2021 The release of Google Street View in 2007 inspired several new panoramic street-level imagery platforms including Apple Look Around, Bing StreetSide, Baidu Total View, Tencent Street View, Naver Street View, and Yandex Panorama.
Jonathan Cinnamon, Lindi Jahiu
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StreetSurfaceVis: a dataset of crowdsourced street-level imagery annotated by road surface type and quality. [PDF]
Sci DataAbstract Road unevenness significantly impacts the safety and comfort of traffic participants, especially vulnerable groups such as cyclists and wheelchair users. To train models for comprehensive road surface assessments, we introduce StreetSurfaceVis, a novel dataset comprising 9,122 street-level images mostly from Germany collected from a ...
Kapp A +3 more
europepmc +6 more sources
Predicting Livelihood Indicators from Community-Generated Street-Level Imagery
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 Major decisions from governments and other large organizations rely on measurements of the populace's well-being, but making such measurements at a broad scale is expensive and thus infrequent in much of the developing world. We propose an inexpensive, scalable, and interpretable approach to predict key livelihood indicators from public crowd-sourced ...
Jihyeon Janel Lee +6 more
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