Pedestrian network information extraction based on VGI

Q3 Social Sciences Geomatica Pub Date : 2018-09-01 DOI:10.1139/GEOMAT-2018-0006
Xue-tong Xie, Guojian Ou
{"title":"Pedestrian network information extraction based on VGI","authors":"Xue-tong Xie, Guojian Ou","doi":"10.1139/GEOMAT-2018-0006","DOIUrl":null,"url":null,"abstract":"Pedestrian network information plays an important role in pedestrian location based service (LBS), and its completeness determines the quality of a pedestrian LBS. This study used volunteered data and BaiduMap to research how to extract pedestrian network information on the basis of pedestrian GPS trajectories. The method extracts human road information by three steps: cleaning track data, extracting the road network, and detecting and analysing the recognised pedestrian road facilities. Once the road network information is extracted, the information regarding road facilities can be obtained, e.g., pedestrian crossings, overpasses, and underground passages. This paper describes a new method for incrementally updating electronic maps.","PeriodicalId":35938,"journal":{"name":"Geomatica","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1139/GEOMAT-2018-0006","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geomatica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1139/GEOMAT-2018-0006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 3

Abstract

Pedestrian network information plays an important role in pedestrian location based service (LBS), and its completeness determines the quality of a pedestrian LBS. This study used volunteered data and BaiduMap to research how to extract pedestrian network information on the basis of pedestrian GPS trajectories. The method extracts human road information by three steps: cleaning track data, extracting the road network, and detecting and analysing the recognised pedestrian road facilities. Once the road network information is extracted, the information regarding road facilities can be obtained, e.g., pedestrian crossings, overpasses, and underground passages. This paper describes a new method for incrementally updating electronic maps.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于VGI的行人网络信息提取
行人网络信息在基于行人定位服务(LBS)中起着重要作用,其完整性决定了行人LBS的质量。本研究利用自愿数据和百度地图研究了如何基于行人GPS轨迹提取行人网络信息。该方法通过三个步骤提取人类道路信息:清理轨迹数据、提取道路网络以及检测和分析识别出的步行道路设施。一旦提取了道路网络信息,就可以获得关于道路设施的信息,例如,人行横道、立交桥和地下通道。本文描述了一种增量更新电子地图的新方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Geomatica
Geomatica Social Sciences-Geography, Planning and Development
CiteScore
1.50
自引率
0.00%
发文量
7
期刊介绍: Geomatica (formerly CISM Journal ACSGC), is the official quarterly publication of the Canadian Institute of Geomatics. It is the oldest surveying and mapping publication in Canada and was first published in 1922 as the Journal of the Dominion Land Surveyors’ Association. Geomatica is dedicated to the dissemination of information on technical advances in the geomatics sciences. The internationally respected publication contains special features, notices of conferences, calendar of event, articles on personalities, review of current books, industry news and new products, all of which keep the publication lively and informative.
期刊最新文献
Soil Salinity Mapping Using Remote Sensing and GIS A deep transfer learning-based damage assessment on post-event very high-resolution orthophotos Building detection using a dense attention network from LiDAR and image data Exploring five indicators for the quality of OpenStreetMap road networks: a case study of Québec, Canada Fonction d’appartenance et pouvoir d’expression topologique entre objets aux limites fixes et floues dans le processus d’affectation des terres au Gabon
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1