Relocation method and device based on semantic segmentation and electronic equipment

The invention provides a relocation method and device based on semantic segmentation and electronic equipment, and the method comprises the steps: carrying out the semantic segmentation of a current environment image corresponding to the parking position of a current vehicle and a historically colle...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: HU JUN, LIU WEI, CAO BIN, FENG RUOMEI, NIE JIWEI, HUANG GUAN
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 HU JUN
LIU WEI
CAO BIN
FENG RUOMEI
NIE JIWEI
HUANG GUAN
description The invention provides a relocation method and device based on semantic segmentation and electronic equipment, and the method comprises the steps: carrying out the semantic segmentation of a current environment image corresponding to the parking position of a current vehicle and a historically collected key environment image set, and obtaining a plurality of static object semantic categories corresponding to each image; determining a target environment image corresponding to the current environment image from the key environment image set by taking the topological relation of the semantic category of the static object as a descriptor of each image; the current vehicle is repositioned based on the position information corresponding to the target environment image, the problem that the image illumination robustness is poor is avoided, and the method can adapt to various vehicle application scenes. 本发明提供了一种基于语义分割的重定位方法、装置和电子设备,包括,对当前车辆所处停驻位置对应的当前环境图像和历史采集的关键环境图像集合分别进行语义分割,得到每张图像对应的多个静态对象语义类别;以静态对象语义类别的拓扑关系作为每张图像
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN114166204A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN114166204A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN114166204A3</originalsourceid><addsrcrecordid>eNqNizEKAjEQRdNYiHqHeADB6LK9LIqVhWy_jMlXA8kkmtHzm0UPYPUfvPenqj8jJEviE-sIuSeniZ12eHsLfaECp6sqiMTibYVbBMv3MJYIsPJMXB0eL59HO1eTK4WCxW9nannY991xhZwGlEwWDBm6kzGNadvNutlt_2k-sps5Eg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Relocation method and device based on semantic segmentation and electronic equipment</title><source>esp@cenet</source><creator>HU JUN ; LIU WEI ; CAO BIN ; FENG RUOMEI ; NIE JIWEI ; HUANG GUAN</creator><creatorcontrib>HU JUN ; LIU WEI ; CAO BIN ; FENG RUOMEI ; NIE JIWEI ; HUANG GUAN</creatorcontrib><description>The invention provides a relocation method and device based on semantic segmentation and electronic equipment, and the method comprises the steps: carrying out the semantic segmentation of a current environment image corresponding to the parking position of a current vehicle and a historically collected key environment image set, and obtaining a plurality of static object semantic categories corresponding to each image; determining a target environment image corresponding to the current environment image from the key environment image set by taking the topological relation of the semantic category of the static object as a descriptor of each image; the current vehicle is repositioned based on the position information corresponding to the target environment image, the problem that the image illumination robustness is poor is avoided, and the method can adapt to various vehicle application scenes. 本发明提供了一种基于语义分割的重定位方法、装置和电子设备,包括,对当前车辆所处停驻位置对应的当前环境图像和历史采集的关键环境图像集合分别进行语义分割,得到每张图像对应的多个静态对象语义类别;以静态对象语义类别的拓扑关系作为每张图像</description><language>chi ; eng</language><subject>GYROSCOPIC INSTRUMENTS ; MEASURING ; MEASURING DISTANCES, LEVELS OR BEARINGS ; NAVIGATION ; PHOTOGRAMMETRY OR VIDEOGRAMMETRY ; PHYSICS ; SURVEYING ; TESTING</subject><creationdate>2022</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&amp;date=20220311&amp;DB=EPODOC&amp;CC=CN&amp;NR=114166204A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20220311&amp;DB=EPODOC&amp;CC=CN&amp;NR=114166204A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>HU JUN</creatorcontrib><creatorcontrib>LIU WEI</creatorcontrib><creatorcontrib>CAO BIN</creatorcontrib><creatorcontrib>FENG RUOMEI</creatorcontrib><creatorcontrib>NIE JIWEI</creatorcontrib><creatorcontrib>HUANG GUAN</creatorcontrib><title>Relocation method and device based on semantic segmentation and electronic equipment</title><description>The invention provides a relocation method and device based on semantic segmentation and electronic equipment, and the method comprises the steps: carrying out the semantic segmentation of a current environment image corresponding to the parking position of a current vehicle and a historically collected key environment image set, and obtaining a plurality of static object semantic categories corresponding to each image; determining a target environment image corresponding to the current environment image from the key environment image set by taking the topological relation of the semantic category of the static object as a descriptor of each image; the current vehicle is repositioned based on the position information corresponding to the target environment image, the problem that the image illumination robustness is poor is avoided, and the method can adapt to various vehicle application scenes. 本发明提供了一种基于语义分割的重定位方法、装置和电子设备,包括,对当前车辆所处停驻位置对应的当前环境图像和历史采集的关键环境图像集合分别进行语义分割,得到每张图像对应的多个静态对象语义类别;以静态对象语义类别的拓扑关系作为每张图像</description><subject>GYROSCOPIC INSTRUMENTS</subject><subject>MEASURING</subject><subject>MEASURING DISTANCES, LEVELS OR BEARINGS</subject><subject>NAVIGATION</subject><subject>PHOTOGRAMMETRY OR VIDEOGRAMMETRY</subject><subject>PHYSICS</subject><subject>SURVEYING</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNizEKAjEQRdNYiHqHeADB6LK9LIqVhWy_jMlXA8kkmtHzm0UPYPUfvPenqj8jJEviE-sIuSeniZ12eHsLfaECp6sqiMTibYVbBMv3MJYIsPJMXB0eL59HO1eTK4WCxW9nannY991xhZwGlEwWDBm6kzGNadvNutlt_2k-sps5Eg</recordid><startdate>20220311</startdate><enddate>20220311</enddate><creator>HU JUN</creator><creator>LIU WEI</creator><creator>CAO BIN</creator><creator>FENG RUOMEI</creator><creator>NIE JIWEI</creator><creator>HUANG GUAN</creator><scope>EVB</scope></search><sort><creationdate>20220311</creationdate><title>Relocation method and device based on semantic segmentation and electronic equipment</title><author>HU JUN ; LIU WEI ; CAO BIN ; FENG RUOMEI ; NIE JIWEI ; HUANG GUAN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114166204A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>GYROSCOPIC INSTRUMENTS</topic><topic>MEASURING</topic><topic>MEASURING DISTANCES, LEVELS OR BEARINGS</topic><topic>NAVIGATION</topic><topic>PHOTOGRAMMETRY OR VIDEOGRAMMETRY</topic><topic>PHYSICS</topic><topic>SURVEYING</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>HU JUN</creatorcontrib><creatorcontrib>LIU WEI</creatorcontrib><creatorcontrib>CAO BIN</creatorcontrib><creatorcontrib>FENG RUOMEI</creatorcontrib><creatorcontrib>NIE JIWEI</creatorcontrib><creatorcontrib>HUANG GUAN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>HU JUN</au><au>LIU WEI</au><au>CAO BIN</au><au>FENG RUOMEI</au><au>NIE JIWEI</au><au>HUANG GUAN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Relocation method and device based on semantic segmentation and electronic equipment</title><date>2022-03-11</date><risdate>2022</risdate><abstract>The invention provides a relocation method and device based on semantic segmentation and electronic equipment, and the method comprises the steps: carrying out the semantic segmentation of a current environment image corresponding to the parking position of a current vehicle and a historically collected key environment image set, and obtaining a plurality of static object semantic categories corresponding to each image; determining a target environment image corresponding to the current environment image from the key environment image set by taking the topological relation of the semantic category of the static object as a descriptor of each image; the current vehicle is repositioned based on the position information corresponding to the target environment image, the problem that the image illumination robustness is poor is avoided, and the method can adapt to various vehicle application scenes. 本发明提供了一种基于语义分割的重定位方法、装置和电子设备,包括,对当前车辆所处停驻位置对应的当前环境图像和历史采集的关键环境图像集合分别进行语义分割,得到每张图像对应的多个静态对象语义类别;以静态对象语义类别的拓扑关系作为每张图像</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN114166204A
source esp@cenet
subjects GYROSCOPIC INSTRUMENTS
MEASURING
MEASURING DISTANCES, LEVELS OR BEARINGS
NAVIGATION
PHOTOGRAMMETRY OR VIDEOGRAMMETRY
PHYSICS
SURVEYING
TESTING
title Relocation method and device based on semantic segmentation and electronic equipment
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-03T05%3A48%3A44IST&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=HU%20JUN&rft.date=2022-03-11&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN114166204A%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