Lane line endpoint identification method and device, equipment and medium
The invention discloses a lane line endpoint identification method and device, equipment and a medium. The method at least comprises the steps that the method is adopted; lane lines contained in the lane line sample image are detected; defining a boundary frame for framing lane line endpoints contai...
Gespeichert in:
Hauptverfasser: | , , |
---|---|
Format: | Patent |
Sprache: | chi ; eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | GAO SANYUAN FENG HANPING JU WEIPING |
description | The invention discloses a lane line endpoint identification method and device, equipment and a medium. The method at least comprises the steps that the method is adopted; lane lines contained in the lane line sample image are detected; defining a boundary frame for framing lane line endpoints contained in the lane line sample image, and according to the definition of the boundary frame of the laneline end point, carrying out target detection in the to-be-identified image by utilizing a convolutional neural network-based target detection algorithm so as to identify the boundary frame of the lane line end point, and judging the position of the lane line end point according to a target detection result. According to the method, the proper boundary frame is defined for the lane line endpointaccording to the lane line, and the target detection is performed based on the boundary frame regression, so that the lane line endpoint can be accurately identified in the to-be-identified image andthe position of the to-be-i |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN109583393A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN109583393A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN109583393A3</originalsourceid><addsrcrecordid>eNqNirEKwkAQBa-xEPUf1l5BOQRTSlAUxMo-HLcvZCG3d5KN328QP8BmBoaZu9s9KKiXCVAuWdRIGGrSSgwmWSnBuswUlInxlogN4TVKSdP1rQksY1q6WRv6AaufF259OT_r6xYlNxhKiFBYUz_2u-pw9L7yJ__P8wHOmjSR</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Lane line endpoint identification method and device, equipment and medium</title><source>esp@cenet</source><creator>GAO SANYUAN ; FENG HANPING ; JU WEIPING</creator><creatorcontrib>GAO SANYUAN ; FENG HANPING ; JU WEIPING</creatorcontrib><description>The invention discloses a lane line endpoint identification method and device, equipment and a medium. The method at least comprises the steps that the method is adopted; lane lines contained in the lane line sample image are detected; defining a boundary frame for framing lane line endpoints contained in the lane line sample image, and according to the definition of the boundary frame of the laneline end point, carrying out target detection in the to-be-identified image by utilizing a convolutional neural network-based target detection algorithm so as to identify the boundary frame of the lane line end point, and judging the position of the lane line end point according to a target detection result. According to the method, the proper boundary frame is defined for the lane line endpointaccording to the lane line, and the target detection is performed based on the boundary frame regression, so that the lane line endpoint can be accurately identified in the to-be-identified image andthe position of the to-be-i</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2019</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20190405&DB=EPODOC&CC=CN&NR=109583393A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20190405&DB=EPODOC&CC=CN&NR=109583393A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>GAO SANYUAN</creatorcontrib><creatorcontrib>FENG HANPING</creatorcontrib><creatorcontrib>JU WEIPING</creatorcontrib><title>Lane line endpoint identification method and device, equipment and medium</title><description>The invention discloses a lane line endpoint identification method and device, equipment and a medium. The method at least comprises the steps that the method is adopted; lane lines contained in the lane line sample image are detected; defining a boundary frame for framing lane line endpoints contained in the lane line sample image, and according to the definition of the boundary frame of the laneline end point, carrying out target detection in the to-be-identified image by utilizing a convolutional neural network-based target detection algorithm so as to identify the boundary frame of the lane line end point, and judging the position of the lane line end point according to a target detection result. According to the method, the proper boundary frame is defined for the lane line endpointaccording to the lane line, and the target detection is performed based on the boundary frame regression, so that the lane line endpoint can be accurately identified in the to-be-identified image andthe position of the to-be-i</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2019</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNirEKwkAQBa-xEPUf1l5BOQRTSlAUxMo-HLcvZCG3d5KN328QP8BmBoaZu9s9KKiXCVAuWdRIGGrSSgwmWSnBuswUlInxlogN4TVKSdP1rQksY1q6WRv6AaufF259OT_r6xYlNxhKiFBYUz_2u-pw9L7yJ__P8wHOmjSR</recordid><startdate>20190405</startdate><enddate>20190405</enddate><creator>GAO SANYUAN</creator><creator>FENG HANPING</creator><creator>JU WEIPING</creator><scope>EVB</scope></search><sort><creationdate>20190405</creationdate><title>Lane line endpoint identification method and device, equipment and medium</title><author>GAO SANYUAN ; FENG HANPING ; JU WEIPING</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN109583393A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2019</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>GAO SANYUAN</creatorcontrib><creatorcontrib>FENG HANPING</creatorcontrib><creatorcontrib>JU WEIPING</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>GAO SANYUAN</au><au>FENG HANPING</au><au>JU WEIPING</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Lane line endpoint identification method and device, equipment and medium</title><date>2019-04-05</date><risdate>2019</risdate><abstract>The invention discloses a lane line endpoint identification method and device, equipment and a medium. The method at least comprises the steps that the method is adopted; lane lines contained in the lane line sample image are detected; defining a boundary frame for framing lane line endpoints contained in the lane line sample image, and according to the definition of the boundary frame of the laneline end point, carrying out target detection in the to-be-identified image by utilizing a convolutional neural network-based target detection algorithm so as to identify the boundary frame of the lane line end point, and judging the position of the lane line end point according to a target detection result. According to the method, the proper boundary frame is defined for the lane line endpointaccording to the lane line, and the target detection is performed based on the boundary frame regression, so that the lane line endpoint can be accurately identified in the to-be-identified image andthe position of the to-be-i</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | chi ; eng |
recordid | cdi_epo_espacenet_CN109583393A |
source | esp@cenet |
subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
title | Lane line endpoint identification method and device, equipment and medium |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T00%3A42%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=GAO%20SANYUAN&rft.date=2019-04-05&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN109583393A%3C/epo_EVB%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 |