Obstacle detection in dangerous railway track areas by a convolutional neural network

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Measurement science & technology 2021-10, Vol.32 (10), p.105401
Hauptverfasser: He, Deqiang, Li, Kai, Chen, Yanjun, Miao, Jian, Li, Xianwang, Shan, Sheng, Ren, Ruochen
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 10
container_start_page 105401
container_title Measurement science & technology
container_volume 32
creator He, Deqiang
Li, Kai
Chen, Yanjun
Miao, Jian
Li, Xianwang
Shan, Sheng
Ren, Ruochen
description
doi_str_mv 10.1088/1361-6501/abfdde
format Article
fullrecord <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_1088_1361_6501_abfdde</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_1088_1361_6501_abfdde</sourcerecordid><originalsourceid>FETCH-LOGICAL-c243t-2ceae49bf826b460abe61a713b9b674ab7b3e110d675112d68533cdb8c301a2f3</originalsourceid><addsrcrecordid>eNo90M1KxDAUBeAgCtbRvcu8QJ17mzZtlzL4BwOzcdblJrmVOrWVJHXo20sdmdWBA-csPiHuER4QqmqNSmOqC8A1mdY5vhDJuboUCdRFmUKm1LW4CeETAEqo60TsdyZEsj1Lx5Ft7MZBdoN0NHywH6cgPXX9kWYZPdmDJM8UpJklSTsOP2M_LQvq5cCT_4t4HP3hVly11Ae--8-V2D8_vW9e0-3u5W3zuE1tlquYZpaJ89q0VaZNroEMa6QSlamNLnMypVGMCE6XBWLmdFUoZZ2prAKkrFUrAadf68cQPLfNt---yM8NQrOwNItBsxg0Jxb1C2JJWKg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Obstacle detection in dangerous railway track areas by a convolutional neural network</title><source>IOP Publishing Journals</source><source>Institute of Physics (IOP) Journals - HEAL-Link</source><creator>He, Deqiang ; Li, Kai ; Chen, Yanjun ; Miao, Jian ; Li, Xianwang ; Shan, Sheng ; Ren, Ruochen</creator><creatorcontrib>He, Deqiang ; Li, Kai ; Chen, Yanjun ; Miao, Jian ; Li, Xianwang ; Shan, Sheng ; Ren, Ruochen</creatorcontrib><identifier>ISSN: 0957-0233</identifier><identifier>EISSN: 1361-6501</identifier><identifier>DOI: 10.1088/1361-6501/abfdde</identifier><language>eng</language><ispartof>Measurement science &amp; technology, 2021-10, Vol.32 (10), p.105401</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c243t-2ceae49bf826b460abe61a713b9b674ab7b3e110d675112d68533cdb8c301a2f3</citedby><cites>FETCH-LOGICAL-c243t-2ceae49bf826b460abe61a713b9b674ab7b3e110d675112d68533cdb8c301a2f3</cites><orcidid>0000-0002-7668-9399 ; 0000-0001-8213-3859</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>He, Deqiang</creatorcontrib><creatorcontrib>Li, Kai</creatorcontrib><creatorcontrib>Chen, Yanjun</creatorcontrib><creatorcontrib>Miao, Jian</creatorcontrib><creatorcontrib>Li, Xianwang</creatorcontrib><creatorcontrib>Shan, Sheng</creatorcontrib><creatorcontrib>Ren, Ruochen</creatorcontrib><title>Obstacle detection in dangerous railway track areas by a convolutional neural network</title><title>Measurement science &amp; technology</title><issn>0957-0233</issn><issn>1361-6501</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNo90M1KxDAUBeAgCtbRvcu8QJ17mzZtlzL4BwOzcdblJrmVOrWVJHXo20sdmdWBA-csPiHuER4QqmqNSmOqC8A1mdY5vhDJuboUCdRFmUKm1LW4CeETAEqo60TsdyZEsj1Lx5Ft7MZBdoN0NHywH6cgPXX9kWYZPdmDJM8UpJklSTsOP2M_LQvq5cCT_4t4HP3hVly11Ae--8-V2D8_vW9e0-3u5W3zuE1tlquYZpaJ89q0VaZNroEMa6QSlamNLnMypVGMCE6XBWLmdFUoZZ2prAKkrFUrAadf68cQPLfNt---yM8NQrOwNItBsxg0Jxb1C2JJWKg</recordid><startdate>20211001</startdate><enddate>20211001</enddate><creator>He, Deqiang</creator><creator>Li, Kai</creator><creator>Chen, Yanjun</creator><creator>Miao, Jian</creator><creator>Li, Xianwang</creator><creator>Shan, Sheng</creator><creator>Ren, Ruochen</creator><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-7668-9399</orcidid><orcidid>https://orcid.org/0000-0001-8213-3859</orcidid></search><sort><creationdate>20211001</creationdate><title>Obstacle detection in dangerous railway track areas by a convolutional neural network</title><author>He, Deqiang ; Li, Kai ; Chen, Yanjun ; Miao, Jian ; Li, Xianwang ; Shan, Sheng ; Ren, Ruochen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c243t-2ceae49bf826b460abe61a713b9b674ab7b3e110d675112d68533cdb8c301a2f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>He, Deqiang</creatorcontrib><creatorcontrib>Li, Kai</creatorcontrib><creatorcontrib>Chen, Yanjun</creatorcontrib><creatorcontrib>Miao, Jian</creatorcontrib><creatorcontrib>Li, Xianwang</creatorcontrib><creatorcontrib>Shan, Sheng</creatorcontrib><creatorcontrib>Ren, Ruochen</creatorcontrib><collection>CrossRef</collection><jtitle>Measurement science &amp; technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>He, Deqiang</au><au>Li, Kai</au><au>Chen, Yanjun</au><au>Miao, Jian</au><au>Li, Xianwang</au><au>Shan, Sheng</au><au>Ren, Ruochen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Obstacle detection in dangerous railway track areas by a convolutional neural network</atitle><jtitle>Measurement science &amp; technology</jtitle><date>2021-10-01</date><risdate>2021</risdate><volume>32</volume><issue>10</issue><spage>105401</spage><pages>105401-</pages><issn>0957-0233</issn><eissn>1361-6501</eissn><doi>10.1088/1361-6501/abfdde</doi><orcidid>https://orcid.org/0000-0002-7668-9399</orcidid><orcidid>https://orcid.org/0000-0001-8213-3859</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0957-0233
ispartof Measurement science & technology, 2021-10, Vol.32 (10), p.105401
issn 0957-0233
1361-6501
language eng
recordid cdi_crossref_primary_10_1088_1361_6501_abfdde
source IOP Publishing Journals; Institute of Physics (IOP) Journals - HEAL-Link
title Obstacle detection in dangerous railway track areas by a convolutional neural network
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T17%3A47%3A08IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Obstacle%20detection%20in%20dangerous%20railway%20track%20areas%20by%20a%20convolutional%20neural%20network&rft.jtitle=Measurement%20science%20&%20technology&rft.au=He,%20Deqiang&rft.date=2021-10-01&rft.volume=32&rft.issue=10&rft.spage=105401&rft.pages=105401-&rft.issn=0957-0233&rft.eissn=1361-6501&rft_id=info:doi/10.1088/1361-6501/abfdde&rft_dat=%3Ccrossref%3E10_1088_1361_6501_abfdde%3C/crossref%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true