Monitoring area division method based on multi-data fusion self-calibration
The invention discloses a monitoring area division method based on multi-data fusion self-calibration. The problems that in a traditional monitoring system, division of a monitoring area usually needs manual setting or depends on a predefined rule and is not flexible enough, and manual intervention...
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| creator | FENG YULI ZHU WEI YANG XIUBIN XU QUNZHOU ZHA JINGYU SHEN XIAOXIAN ZHENG LINYING OH JONG-MUN |
| description | The invention discloses a monitoring area division method based on multi-data fusion self-calibration. The problems that in a traditional monitoring system, division of a monitoring area usually needs manual setting or depends on a predefined rule and is not flexible enough, and manual intervention is needed are solved. According to the method, the camera and the laser radar acquire one image and one frame of point cloud at the same time step, and the images acquired at different preset positions are subjected to self-calibration to acquire the rotation translation matrix, so that the point clouds at different preset positions are spliced to achieve a three-dimensional reconstruction effect. Through fusion of various data sources and a self-calibration technology, intelligent and self-adaptive monitoring area division is realized, and manual setting or dependence on predefined rules is not needed.
本发明公开了一种基于多数据融合自标定的监控区域划分方法。为了克服决传统监控系统中，监控区域的划分通常需要手动设置或者依赖预定义的规则，不够灵活且需要人工干预的问题；本发明通过相机与激光雷达同时间步的采集一张图像和一帧点云，对不 |
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本发明公开了一种基于多数据融合自标定的监控区域划分方法。为了克服决传统监控系统中，监控区域的划分通常需要手动设置或者依赖预定义的规则，不够灵活且需要人工干预的问题；本发明通过相机与激光雷达同时间步的采集一张图像和一帧点云，对不</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>2023</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=20231013&DB=EPODOC&CC=CN&NR=116883468A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20231013&DB=EPODOC&CC=CN&NR=116883468A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>FENG YULI</creatorcontrib><creatorcontrib>ZHU WEI</creatorcontrib><creatorcontrib>YANG XIUBIN</creatorcontrib><creatorcontrib>XU QUNZHOU</creatorcontrib><creatorcontrib>ZHA JINGYU</creatorcontrib><creatorcontrib>SHEN XIAOXIAN</creatorcontrib><creatorcontrib>ZHENG LINYING</creatorcontrib><creatorcontrib>OH JONG-MUN</creatorcontrib><title>Monitoring area division method based on multi-data fusion self-calibration</title><description>The invention discloses a monitoring area division method based on multi-data fusion self-calibration. The problems that in a traditional monitoring system, division of a monitoring area usually needs manual setting or depends on a predefined rule and is not flexible enough, and manual intervention is needed are solved. According to the method, the camera and the laser radar acquire one image and one frame of point cloud at the same time step, and the images acquired at different preset positions are subjected to self-calibration to acquire the rotation translation matrix, so that the point clouds at different preset positions are spliced to achieve a three-dimensional reconstruction effect. Through fusion of various data sources and a self-calibration technology, intelligent and self-adaptive monitoring area division is realized, and manual setting or dependence on predefined rules is not needed.
本发明公开了一种基于多数据融合自标定的监控区域划分方法。为了克服决传统监控系统中，监控区域的划分通常需要手动设置或者依赖预定义的规则，不够灵活且需要人工干预的问题；本发明通过相机与激光雷达同时间步的采集一张图像和一帧点云，对不</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>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPD2zc_LLMkvysxLV0gsSk1USMksyyzOzM9TyE0tychPUUhKLE5NUQDxS3NKMnVTEksSFdJKwSqKU3PSdJMTczKTihJLgAI8DKxpiTnFqbxQmptB0c01xNlDN7UgPz61uCAxOTUvtSTe2c_Q0MzCwtjEzMLRmBg1AHTfNbI</recordid><startdate>20231013</startdate><enddate>20231013</enddate><creator>FENG YULI</creator><creator>ZHU WEI</creator><creator>YANG XIUBIN</creator><creator>XU QUNZHOU</creator><creator>ZHA JINGYU</creator><creator>SHEN XIAOXIAN</creator><creator>ZHENG LINYING</creator><creator>OH JONG-MUN</creator><scope>EVB</scope></search><sort><creationdate>20231013</creationdate><title>Monitoring area division method based on multi-data fusion self-calibration</title><author>FENG YULI ; ZHU WEI ; YANG XIUBIN ; XU QUNZHOU ; ZHA JINGYU ; SHEN XIAOXIAN ; ZHENG LINYING ; OH JONG-MUN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116883468A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</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>FENG YULI</creatorcontrib><creatorcontrib>ZHU WEI</creatorcontrib><creatorcontrib>YANG XIUBIN</creatorcontrib><creatorcontrib>XU QUNZHOU</creatorcontrib><creatorcontrib>ZHA JINGYU</creatorcontrib><creatorcontrib>SHEN XIAOXIAN</creatorcontrib><creatorcontrib>ZHENG LINYING</creatorcontrib><creatorcontrib>OH JONG-MUN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>FENG YULI</au><au>ZHU WEI</au><au>YANG XIUBIN</au><au>XU QUNZHOU</au><au>ZHA JINGYU</au><au>SHEN XIAOXIAN</au><au>ZHENG LINYING</au><au>OH JONG-MUN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Monitoring area division method based on multi-data fusion self-calibration</title><date>2023-10-13</date><risdate>2023</risdate><abstract>The invention discloses a monitoring area division method based on multi-data fusion self-calibration. The problems that in a traditional monitoring system, division of a monitoring area usually needs manual setting or depends on a predefined rule and is not flexible enough, and manual intervention is needed are solved. According to the method, the camera and the laser radar acquire one image and one frame of point cloud at the same time step, and the images acquired at different preset positions are subjected to self-calibration to acquire the rotation translation matrix, so that the point clouds at different preset positions are spliced to achieve a three-dimensional reconstruction effect. Through fusion of various data sources and a self-calibration technology, intelligent and self-adaptive monitoring area division is realized, and manual setting or dependence on predefined rules is not needed.
本发明公开了一种基于多数据融合自标定的监控区域划分方法。为了克服决传统监控系统中，监控区域的划分通常需要手动设置或者依赖预定义的规则，不够灵活且需要人工干预的问题；本发明通过相机与激光雷达同时间步的采集一张图像和一帧点云，对不</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
| title | Monitoring area division method based on multi-data fusion self-calibration |
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