Results 11 to 20 of about 1,890,742 (270)
An annotated street view image dataset for automated road damage detection [PDF]
Scientific DataRoad damage is a great threat to the service life and safety of roads, and the early detection of pavement damage can facilitate maintenance and repair.
Miao Ren +4 more
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Greenspace and depression incidence in the US-based nationwide Nurses' Health Study II: A deep learning analysis of street-view imagery [PDF]
Environment InternationalBackground: Greenspace exposure is associated with lower depression risk. However, most studies have measured greenspace exposure using satellite-based vegetation indices, leading to potential exposure misclassification and limited policy relevance.
Li Yi +12 more
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Assessing the nonlinear impact of green space exposure on psychological stress perception using machine learning and street view images [PDF]
Frontiers in Public HealthIntroductionUrban green space (GS) exposure is recognized as a nature-based strategy for addressing urban challenges. However, the stress relieving effects and mechanisms of GS exposure are yet to be fully explored.
Tianlin Zhang +4 more
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Proceedings of the 21st International Conference on Web3D Technology, 2016 This paper presents an immersive geo-spatial social media system for virtual and augmented reality environments. With the rapid growth of photo-sharing social media sites such as Flickr, Pinterest, and Instagram, geo-tagged photographs are now ubiquitous. However, the current systems for their navigation are unsatisfyingly one- or two-dimensional.
Ruofei Du, Amitabh Varshney
openaire +1 more source
Multi‐scale attention encoder for street‐to‐aerial image geo‐localization
CAAI Transactions on Intelligence Technology, 2023 The goal of street‐to‐aerial cross‐view image geo‐localization is to determine the location of the query street‐view image by retrieving the aerial‐view image from the same place.
Songlian Li +3 more
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Redai dili, 2023 Street vendors are an indispensable part of the urban social ecosystem, but due to a lack of comprehensive understanding, many cities have adopted simple eviction policies, resulting in the gradual marginalization and stigmatization of the street economy.
Liu Yuchen +4 more
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Remote Sensing, 2020 Understanding urban spatial pattern of land use is of great significance to urban land management and resource allocation. Urban space has strong heterogeneity, and thus there were many researches focusing on the identification of urban land use.
Shouzhi Chang +5 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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Learning to Follow Directions in Street View
Proceedings of the AAAI Conference on Artificial Intelligence, 2020 Navigating and understanding the real world remains a key challenge in machine learning and inspires a great variety of research in areas such as language grounding, planning, navigation and computer vision. We propose an instruction-following task that requires all of the above, and which combines the practicality of simulated environments with the ...
Karl Moritz Hermann +5 more
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HIERARCHICAL DATA MODEL FOR STORAGE AND INDEXING OF MASSIVE STREET VIEW [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Maintaining an up-to-date inventory of urban infrastructure such as fire hydrant is critical to urban management. Street view database such as Google Street View and Baidu Street View contain street-level images, their potential for urban management has ...
M. Du +4 more
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