Results 31 to 40 of about 612,106 (277)
Classification of Urban Scenes from Geo-referenced Images in Urban Street-View Context [PDF]
, 2012 International audienceThis paper addresses the challenging problem of scene classification in street-view georeferenced images of urban environments. More precisely, the goal of this task is semantic image classification, consisting in predicting in a ...
Cord, Matthieu +3 more
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Cross-View Image Matching for Geo-localization in Urban Environments
, 2017 In this paper, we address the problem of cross-view image geo-localization. Specifically, we aim to estimate the GPS location of a query street view image by finding the matching images in a reference database of geo-tagged bird's eye view images, or ...
Chen, Chen, Shah, Mubarak, Tian, Yicong
core +1 more source
DAS: Efficient Street View Image Sampling for Urban Prediction
ACM Transactions on Intelligent Systems and Technology, 2023 Street view data is one of the most common data sources for urban prediction tasks, such as estimating socioeconomic status, sensing physical urban changes, and identifying urban villages. Typical research in this field consists of two steps: acquiring a dataset with a street view image sampling algorithm and designing a prediction algorithm for urban ...
Guozhen Zhang +4 more
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IEEE Access, 2023 In order to achieve the fine design of urban streets in the Internet of Things (IoT) environment, this work proposes a semantic segmentation network based on improved DeepLabV3+ to perform semantic segmentation of street scenes.
Lei Song
doaj +1 more source
DeepNav: Learning to Navigate Large Cities
, 2017 We present DeepNav, a Convolutional Neural Network (CNN) based algorithm for navigating large cities using locally visible street-view images. The DeepNav agent learns to reach its destination quickly by making the correct navigation decisions at ...
Brahmbhatt, Samarth, Hays, James
core +1 more source
LandStreet view images are often used to assess the impact of the built environment on urban vitality from an eye-level perspective. However, the influence of analyzing scale on the accuracy of assessment results is often ignored.
Jie Yin +4 more
doaj +1 more source
A Synergistic Approach for Recovering Occlusion-Free Textured 3D Maps of Urban Facades from Heterogeneous Cartographic Data [PDF]
, 2013 In this paper we present a practical approach for generating an occlusion-free textured 3D map of urban facades by the synergistic use of terrestrial images, 3D point clouds and area-based information.
Dornaika, Fadi +5 more
core +3 more sources
Enhancing Monocular Height Estimation from Aerial Images with Street-view Images
CoRR, 2023 Accurate height estimation from monocular aerial imagery presents a significant challenge due to its inherently ill-posed nature. This limitation is rooted in the absence of adequate geometric constraints available to the model when training with monocular imagery.
Xiaomou Hou, Wanshui Gan, Naoto Yokoya
openaire +2 more sources
Metric Localization using Google Street View
, 2015 Accurate metrical localization is one of the central challenges in mobile robotics. Many existing methods aim at localizing after building a map with the robot.
Agarwal, Pratik +2 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács +8 more
wiley +1 more source