Map construction method and device, equipment and storage medium
The invention provides a map construction method, device and equipment and a storage medium, relates to the field of artificial intelligence, and is used for improving the robot positioning robustness, eliminating the influence of a dynamic object on robot positioning and mapping in a dynamic scene,...
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 | FAN SHUAIFANG WU HUAN XU YULONG QIN ZHIMENG WANG ZHENG SONG QIJUN SHEN TAO |
description | The invention provides a map construction method, device and equipment and a storage medium, relates to the field of artificial intelligence, and is used for improving the robot positioning robustness, eliminating the influence of a dynamic object on robot positioning and mapping in a dynamic scene, and improving the robot positioning and mapping efficiency. Comprising the following steps: a map construction device determines dynamic feature points in an original binocular image collected by a robot, and determines a dynamic target object in the original binocular image according to the dynamic feature points of the original binocular image; further, the map construction device deletes the dynamic target object from the original binocular image to obtain a static binocular image, and determines the motion state of the robot based on the static binocular image, the motion state including the position, the posture and the speed. Moreover, the map construction device also carries out depth estimation on the orig |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN114943785A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN114943785A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN114943785A3</originalsourceid><addsrcrecordid>eNrjZHDwTSxQSM7PKy4pKk0uyczPU8hNLcnIT1FIzEtRSEkty0xO1VFILSzNLMhNzSsBixaX5BclpqcCFaZklubyMLCmJeYUp_JCaW4GRTfXEGcP3dSC_PjU4oLE5NS81JJ4Zz9DQxNLE2NzC1NHY2LUAADJzjFV</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Map construction method and device, equipment and storage medium</title><source>esp@cenet</source><creator>FAN SHUAIFANG ; WU HUAN ; XU YULONG ; QIN ZHIMENG ; WANG ZHENG ; SONG QIJUN ; SHEN TAO</creator><creatorcontrib>FAN SHUAIFANG ; WU HUAN ; XU YULONG ; QIN ZHIMENG ; WANG ZHENG ; SONG QIJUN ; SHEN TAO</creatorcontrib><description>The invention provides a map construction method, device and equipment and a storage medium, relates to the field of artificial intelligence, and is used for improving the robot positioning robustness, eliminating the influence of a dynamic object on robot positioning and mapping in a dynamic scene, and improving the robot positioning and mapping efficiency. Comprising the following steps: a map construction device determines dynamic feature points in an original binocular image collected by a robot, and determines a dynamic target object in the original binocular image according to the dynamic feature points of the original binocular image; further, the map construction device deletes the dynamic target object from the original binocular image to obtain a static binocular image, and determines the motion state of the robot based on the static binocular image, the motion state including the position, the posture and the speed. Moreover, the map construction device also carries out depth estimation on the orig</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</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&date=20220826&DB=EPODOC&CC=CN&NR=114943785A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220826&DB=EPODOC&CC=CN&NR=114943785A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>FAN SHUAIFANG</creatorcontrib><creatorcontrib>WU HUAN</creatorcontrib><creatorcontrib>XU YULONG</creatorcontrib><creatorcontrib>QIN ZHIMENG</creatorcontrib><creatorcontrib>WANG ZHENG</creatorcontrib><creatorcontrib>SONG QIJUN</creatorcontrib><creatorcontrib>SHEN TAO</creatorcontrib><title>Map construction method and device, equipment and storage medium</title><description>The invention provides a map construction method, device and equipment and a storage medium, relates to the field of artificial intelligence, and is used for improving the robot positioning robustness, eliminating the influence of a dynamic object on robot positioning and mapping in a dynamic scene, and improving the robot positioning and mapping efficiency. Comprising the following steps: a map construction device determines dynamic feature points in an original binocular image collected by a robot, and determines a dynamic target object in the original binocular image according to the dynamic feature points of the original binocular image; further, the map construction device deletes the dynamic target object from the original binocular image to obtain a static binocular image, and determines the motion state of the robot based on the static binocular image, the motion state including the position, the posture and the speed. Moreover, the map construction device also carries out depth estimation on the orig</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHDwTSxQSM7PKy4pKk0uyczPU8hNLcnIT1FIzEtRSEkty0xO1VFILSzNLMhNzSsBixaX5BclpqcCFaZklubyMLCmJeYUp_JCaW4GRTfXEGcP3dSC_PjU4oLE5NS81JJ4Zz9DQxNLE2NzC1NHY2LUAADJzjFV</recordid><startdate>20220826</startdate><enddate>20220826</enddate><creator>FAN SHUAIFANG</creator><creator>WU HUAN</creator><creator>XU YULONG</creator><creator>QIN ZHIMENG</creator><creator>WANG ZHENG</creator><creator>SONG QIJUN</creator><creator>SHEN TAO</creator><scope>EVB</scope></search><sort><creationdate>20220826</creationdate><title>Map construction method and device, equipment and storage medium</title><author>FAN SHUAIFANG ; WU HUAN ; XU YULONG ; QIN ZHIMENG ; WANG ZHENG ; SONG QIJUN ; SHEN TAO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114943785A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>FAN SHUAIFANG</creatorcontrib><creatorcontrib>WU HUAN</creatorcontrib><creatorcontrib>XU YULONG</creatorcontrib><creatorcontrib>QIN ZHIMENG</creatorcontrib><creatorcontrib>WANG ZHENG</creatorcontrib><creatorcontrib>SONG QIJUN</creatorcontrib><creatorcontrib>SHEN TAO</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>FAN SHUAIFANG</au><au>WU HUAN</au><au>XU YULONG</au><au>QIN ZHIMENG</au><au>WANG ZHENG</au><au>SONG QIJUN</au><au>SHEN TAO</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Map construction method and device, equipment and storage medium</title><date>2022-08-26</date><risdate>2022</risdate><abstract>The invention provides a map construction method, device and equipment and a storage medium, relates to the field of artificial intelligence, and is used for improving the robot positioning robustness, eliminating the influence of a dynamic object on robot positioning and mapping in a dynamic scene, and improving the robot positioning and mapping efficiency. Comprising the following steps: a map construction device determines dynamic feature points in an original binocular image collected by a robot, and determines a dynamic target object in the original binocular image according to the dynamic feature points of the original binocular image; further, the map construction device deletes the dynamic target object from the original binocular image to obtain a static binocular image, and determines the motion state of the robot based on the static binocular image, the motion state including the position, the posture and the speed. Moreover, the map construction device also carries out depth estimation on the orig</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | chi ; eng |
recordid | cdi_epo_espacenet_CN114943785A |
source | esp@cenet |
subjects | CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
title | Map construction method and device, equipment and storage medium |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T08%3A35%3A29IST&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=FAN%20SHUAIFANG&rft.date=2022-08-26&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN114943785A%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 |