Results 11 to 20 of about 612,106 (277)
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
core +2 more sources
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 ...
Wei Gao +4 more
doaj +2 more sources
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
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
openaire +1 more source
Environmental Challenges, 2021 The urban neighbourhood is one of the most important places for public activities and behaviour spaces in cities, and the quantification of their environments is receiving increasing attention from researchers. In the era of big data, numerous urban data
Nan He, Guanghao Li
doaj +1 more source
Exploring How Street-Level Images Help Enhance Remote-Sensing-Based Local Climate Zone Mapping
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 The local climate zone (LCZ) classification scheme is effective for climatic studies, and thus, timely and accurate LCZ mapping becomes critical for scientific climate research. Remote sensing images can efficiently capture the information of large-scale
Cai Liao +4 more
doaj +1 more source
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
doaj +1 more source
The green view dataset for the capital of Finland, Helsinki
Data in Brief, 2020 Recent studies have incorporated human perspective methods like making use of street view images and measuring green view in addition to more traditional ways of mapping city greenery [1].
Akseli Toikka +4 more
doaj +1 more source
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
doaj +1 more source
TOWARDS LARGE-SCALE BUILDING ATTRIBUTE MAPPING USING CROWDSOURCED IMAGES: SCENE TEXT RECOGNITION ON FLICKR AND PROBLEMS TO BE SOLVED [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Crowdsourced platforms provide huge amounts of street-view images that contain valuable building information. This work addresses the challenges in applying Scene Text Recognition (STR) in crowdsourced street-view images for building attribute mapping ...
Y. Sun +6 more
doaj +1 more source