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Layered Interpretation of Street View Images
Robotics: Science and Systems XI, 2015 We propose a layered street view model to encode both depth and semantic information on street view images for autonomous driving. Recently, stixels, stix-mantics, and tiered scene labeling methods have been proposed to model street view images.
Lin, Shuoxin +3 more
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Silhouette Extraction from Street View Images [PDF]
International Journal of Advanced Robotic Systems, 2014 This study addresses the issue of silhouette extraction of a street, and proposes two novel approaches to overcome this problem. The first, namely hybrid-stitching, considers the silhouette extraction as an image stitching problem and aims to use 2D ...
Begüm Mutlu +4 more
doaj +3 more sources
Land, 2021 Urban greenery is widely acknowledged as a key element for creating livable urban environments and improving residents’ quality of life. However, only a few current studies on the subject of urban greenery focus on a human visual perspective and take ...
Chao Xiao, Qian Shi, Chen-Jie Gu
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Sensors, 2023 Street view images are emerging as new street-level sources of urban environmental information. Accurate detection and quantification of urban air conditioners is crucial for evaluating the resilience of urban residential areas to heat wave disasters and
Zhongmin Tian, Fei Yang, Donghong Qin
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A METHOD OF GENERATING PANORAMIC STREET STRIP IMAGE MAP WITH MOBILE MAPPING SYSTEM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 This paper explores a method of generating panoramic street strip image map which is called as “Pano-Street” here and contains both sides, ground surface and overhead part of a street with a sequence of 360° panoramic images captured with Point Grey’s ...
C. Tianen, K. Yamamoto, K. Tachibana
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Street sweeper: detecting and removing cars in street view images [PDF]
Multimedia Tools and Applications, 2014 To protect privacy of individuals or companies that may be leaked in street view images, we present a system to automatically detect and remove cars as if they had never been there. Although street view service providers have made efforts on blurring human faces and license plates, we argue that remaining features, such as license numbers and phone ...
Wei-Ta Chu +2 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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Quantifying the Spatial Ratio of Streets in Beijing Based on Street-View Images
ISPRS International Journal of Geo-Information, 2023 The physical presence of a street, called the “street view”, is a medium through which people perceive the urban form. A street’s spatial ratio is the main feature of the street view, and its measurement and quality are the core issues in the field of urban design.
Wei Gao +4 more
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Building instance classification using street view images [PDF]
ISPRS Journal of Photogrammetry and Remote Sensing, 2018 Land-use classification based on spaceborne or aerial remote sensing images has been extensively studied over the past decades. Such classification is usually a patch-wise or pixel-wise labeling over the whole image. But for many applications, such as urban population density mapping or urban utility planning, a classification map based on individual ...
Kang, Jian +4 more
openaire +6 more sources
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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