Trajectory prediction model training method, target trajectory prediction method, computing device and computer readable storage medium
The embodiment of the invention provides a trajectory prediction model training method, a target trajectory prediction method, computing equipment and a computer readable storage medium. The trajectory prediction model training method comprises the steps of determining sample driving data and label...
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| creator | MIAO ZHENWEI ZHANG JIQI WANG QI LIANG JIAMING JIANG BIN QING QUAN PANG JIANGNAN GUO KE |
| description | The embodiment of the invention provides a trajectory prediction model training method, a target trajectory prediction method, computing equipment and a computer readable storage medium. The trajectory prediction model training method comprises the steps of determining sample driving data and label driving data of a plurality of sample objects; inputting the sample driving data of each sample object into a data enhancement model to obtain sample enhanced driving data of each sample object; inputting the sample enhanced driving data of each sample object into a trajectory prediction model to obtain sample predicted driving data of each sample object; updating a training track prediction model according to the sample prediction driving data and the label driving data, and updating a training data enhancement model according to the sample prediction driving data and the sample driving data; and continuing to execute the step of inputting the sample driving data of each sample object into the data enhancement mod |
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The trajectory prediction model training method comprises the steps of determining sample driving data and label driving data of a plurality of sample objects; inputting the sample driving data of each sample object into a data enhancement model to obtain sample enhanced driving data of each sample object; inputting the sample enhanced driving data of each sample object into a trajectory prediction model to obtain sample predicted driving data of each sample object; updating a training track prediction model according to the sample prediction driving data and the label driving data, and updating a training data enhancement model according to the sample prediction driving data and the sample driving data; and continuing to execute the step of inputting the sample driving data of each sample object into the data enhancement mod</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2024</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=20240910&DB=EPODOC&CC=CN&NR=118626778A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240910&DB=EPODOC&CC=CN&NR=118626778A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>MIAO ZHENWEI</creatorcontrib><creatorcontrib>ZHANG JIQI</creatorcontrib><creatorcontrib>WANG QI</creatorcontrib><creatorcontrib>LIANG JIAMING</creatorcontrib><creatorcontrib>JIANG BIN</creatorcontrib><creatorcontrib>QING QUAN</creatorcontrib><creatorcontrib>PANG JIANGNAN</creatorcontrib><creatorcontrib>GUO KE</creatorcontrib><title>Trajectory prediction model training method, target trajectory prediction method, computing device and computer readable storage medium</title><description>The embodiment of the invention provides a trajectory prediction model training method, a target trajectory prediction method, computing equipment and a computer readable storage medium. The trajectory prediction model training method comprises the steps of determining sample driving data and label driving data of a plurality of sample objects; inputting the sample driving data of each sample object into a data enhancement model to obtain sample enhanced driving data of each sample object; inputting the sample enhanced driving data of each sample object into a trajectory prediction model to obtain sample predicted driving data of each sample object; updating a training track prediction model according to the sample prediction driving data and the label driving data, and updating a training data enhancement model according to the sample prediction driving data and the sample driving data; and continuing to execute the step of inputting the sample driving data of each sample object into the data enhancement mod</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNy7sKwkAUhOE0FqK-w7HXIgpJWgmKlVX6cNwdk5Xshc2J4BP42iaQ0sJq4Ge-ZfKpIj-hxMc3hQhtlBjvyHqNjiSyccY1ZCGt1zsSjg1k6r_MfFLehkEmpvEyCsROzxGRIljzvQP1o-cGI9NmsOtk8eCux2beVbK9nKvyukfwNfrACg5Sl7c0LbJDlufF6fjP5ws_hE0W</recordid><startdate>20240910</startdate><enddate>20240910</enddate><creator>MIAO ZHENWEI</creator><creator>ZHANG JIQI</creator><creator>WANG QI</creator><creator>LIANG JIAMING</creator><creator>JIANG BIN</creator><creator>QING QUAN</creator><creator>PANG JIANGNAN</creator><creator>GUO KE</creator><scope>EVB</scope></search><sort><creationdate>20240910</creationdate><title>Trajectory prediction model training method, target trajectory prediction method, computing device and computer readable storage medium</title><author>MIAO ZHENWEI ; ZHANG JIQI ; WANG QI ; LIANG JIAMING ; JIANG BIN ; QING QUAN ; PANG JIANGNAN ; GUO KE</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN118626778A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>MIAO ZHENWEI</creatorcontrib><creatorcontrib>ZHANG JIQI</creatorcontrib><creatorcontrib>WANG QI</creatorcontrib><creatorcontrib>LIANG JIAMING</creatorcontrib><creatorcontrib>JIANG BIN</creatorcontrib><creatorcontrib>QING QUAN</creatorcontrib><creatorcontrib>PANG JIANGNAN</creatorcontrib><creatorcontrib>GUO KE</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>MIAO ZHENWEI</au><au>ZHANG JIQI</au><au>WANG QI</au><au>LIANG JIAMING</au><au>JIANG BIN</au><au>QING QUAN</au><au>PANG JIANGNAN</au><au>GUO KE</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Trajectory prediction model training method, target trajectory prediction method, computing device and computer readable storage medium</title><date>2024-09-10</date><risdate>2024</risdate><abstract>The embodiment of the invention provides a trajectory prediction model training method, a target trajectory prediction method, computing equipment and a computer readable storage medium. The trajectory prediction model training method comprises the steps of determining sample driving data and label driving data of a plurality of sample objects; inputting the sample driving data of each sample object into a data enhancement model to obtain sample enhanced driving data of each sample object; inputting the sample enhanced driving data of each sample object into a trajectory prediction model to obtain sample predicted driving data of each sample object; updating a training track prediction model according to the sample prediction driving data and the label driving data, and updating a training data enhancement model according to the sample prediction driving data and the sample driving data; and continuing to execute the step of inputting the sample driving data of each sample object into the data enhancement mod</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | Trajectory prediction model training method, target trajectory prediction method, computing device and computer readable storage medium |
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