TRAINING METHOD AND APPARATUS, TARGET DETECTION METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUM
The present disclosure relates to a training method and apparatus, a target detection method, an electronic device and a storage medium. The training method is used to train a target detection apparatus including at least a plurality of lidar units with different harnesses. The training method inclu...
Gespeichert in:
| Hauptverfasser: | , , , , |
|---|---|
| Format: | Patent |
| Sprache: | 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 | WU, Liansong ZHANG, Zehan LI, Jizhi HONG, Wei ZHOU, Peng |
| description | The present disclosure relates to a training method and apparatus, a target detection method, an electronic device and a storage medium. The training method is used to train a target detection apparatus including at least a plurality of lidar units with different harnesses. The training method includes: generating a third training dataset for a second lidar unit based on a first training dataset for a first lidar unit and a second training dataset for the second lidar unit; performing training on an initial detection model using the first training dataset and the third training dataset randomly sampled to generate a first detection model for the first lidar unit; and performing training on the first detection model using the third training dataset and the first training dataset randomly sampled to generate a second detection model for the second lidar unit, wherein a first harness of the first lidar unit is higher than a second harness of the second lidar unit, and a first field of view of the first lidar unit is smaller than a second field of view of the second lidar unit. |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_AU2023336079A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>AU2023336079A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_AU2023336079A13</originalsourceid><addsrcrecordid>eNrjZIgJCXL09PP0c1fwdQ3x8HdRcPQD4oAAxyDHkNBgHYUQxyB31xAFF9cQV-cQT38_qDIdBVcfoECQv5-nM1AyzNPZFawzOMQ_yNHdFajKxTPUl4eBNS0xpziVF0pzMyi7uYY4e-imFuTHpxYXJCan5qWWxDuGGhkYGRsbmxmYWzoaGhOnCgBWajLa</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>TRAINING METHOD AND APPARATUS, TARGET DETECTION METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUM</title><source>esp@cenet</source><creator>WU, Liansong ; ZHANG, Zehan ; LI, Jizhi ; HONG, Wei ; ZHOU, Peng</creator><creatorcontrib>WU, Liansong ; ZHANG, Zehan ; LI, Jizhi ; HONG, Wei ; ZHOU, Peng</creatorcontrib><description>The present disclosure relates to a training method and apparatus, a target detection method, an electronic device and a storage medium. The training method is used to train a target detection apparatus including at least a plurality of lidar units with different harnesses. The training method includes: generating a third training dataset for a second lidar unit based on a first training dataset for a first lidar unit and a second training dataset for the second lidar unit; performing training on an initial detection model using the first training dataset and the third training dataset randomly sampled to generate a first detection model for the first lidar unit; and performing training on the first detection model using the third training dataset and the first training dataset randomly sampled to generate a second detection model for the second lidar unit, wherein a first harness of the first lidar unit is higher than a second harness of the second lidar unit, and a first field of view of the first lidar unit is smaller than a second field of view of the second lidar unit.</description><language>eng</language><subject>ANALOGOUS ARRANGEMENTS USING OTHER WAVES ; CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES ; ELECTRIC DIGITAL DATA PROCESSING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES ; MEASURING ; PHYSICS ; RADIO DIRECTION-FINDING ; RADIO NAVIGATION ; TESTING</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=20241003&DB=EPODOC&CC=AU&NR=2023336079A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20241003&DB=EPODOC&CC=AU&NR=2023336079A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WU, Liansong</creatorcontrib><creatorcontrib>ZHANG, Zehan</creatorcontrib><creatorcontrib>LI, Jizhi</creatorcontrib><creatorcontrib>HONG, Wei</creatorcontrib><creatorcontrib>ZHOU, Peng</creatorcontrib><title>TRAINING METHOD AND APPARATUS, TARGET DETECTION METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUM</title><description>The present disclosure relates to a training method and apparatus, a target detection method, an electronic device and a storage medium. The training method is used to train a target detection apparatus including at least a plurality of lidar units with different harnesses. The training method includes: generating a third training dataset for a second lidar unit based on a first training dataset for a first lidar unit and a second training dataset for the second lidar unit; performing training on an initial detection model using the first training dataset and the third training dataset randomly sampled to generate a first detection model for the first lidar unit; and performing training on the first detection model using the third training dataset and the first training dataset randomly sampled to generate a second detection model for the second lidar unit, wherein a first harness of the first lidar unit is higher than a second harness of the second lidar unit, and a first field of view of the first lidar unit is smaller than a second field of view of the second lidar unit.</description><subject>ANALOGOUS ARRANGEMENTS USING OTHER WAVES</subject><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES</subject><subject>MEASURING</subject><subject>PHYSICS</subject><subject>RADIO DIRECTION-FINDING</subject><subject>RADIO NAVIGATION</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZIgJCXL09PP0c1fwdQ3x8HdRcPQD4oAAxyDHkNBgHYUQxyB31xAFF9cQV-cQT38_qDIdBVcfoECQv5-nM1AyzNPZFawzOMQ_yNHdFajKxTPUl4eBNS0xpziVF0pzMyi7uYY4e-imFuTHpxYXJCan5qWWxDuGGhkYGRsbmxmYWzoaGhOnCgBWajLa</recordid><startdate>20241003</startdate><enddate>20241003</enddate><creator>WU, Liansong</creator><creator>ZHANG, Zehan</creator><creator>LI, Jizhi</creator><creator>HONG, Wei</creator><creator>ZHOU, Peng</creator><scope>EVB</scope></search><sort><creationdate>20241003</creationdate><title>TRAINING METHOD AND APPARATUS, TARGET DETECTION METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUM</title><author>WU, Liansong ; ZHANG, Zehan ; LI, Jizhi ; HONG, Wei ; ZHOU, Peng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_AU2023336079A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2024</creationdate><topic>ANALOGOUS ARRANGEMENTS USING OTHER WAVES</topic><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES</topic><topic>MEASURING</topic><topic>PHYSICS</topic><topic>RADIO DIRECTION-FINDING</topic><topic>RADIO NAVIGATION</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>WU, Liansong</creatorcontrib><creatorcontrib>ZHANG, Zehan</creatorcontrib><creatorcontrib>LI, Jizhi</creatorcontrib><creatorcontrib>HONG, Wei</creatorcontrib><creatorcontrib>ZHOU, Peng</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>WU, Liansong</au><au>ZHANG, Zehan</au><au>LI, Jizhi</au><au>HONG, Wei</au><au>ZHOU, Peng</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>TRAINING METHOD AND APPARATUS, TARGET DETECTION METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUM</title><date>2024-10-03</date><risdate>2024</risdate><abstract>The present disclosure relates to a training method and apparatus, a target detection method, an electronic device and a storage medium. The training method is used to train a target detection apparatus including at least a plurality of lidar units with different harnesses. The training method includes: generating a third training dataset for a second lidar unit based on a first training dataset for a first lidar unit and a second training dataset for the second lidar unit; performing training on an initial detection model using the first training dataset and the third training dataset randomly sampled to generate a first detection model for the first lidar unit; and performing training on the first detection model using the third training dataset and the first training dataset randomly sampled to generate a second detection model for the second lidar unit, wherein a first harness of the first lidar unit is higher than a second harness of the second lidar unit, and a first field of view of the first lidar unit is smaller than a second field of view of the second lidar unit.</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_epo_espacenet_AU2023336079A1 |
| source | esp@cenet |
| subjects | ANALOGOUS ARRANGEMENTS USING OTHER WAVES CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES ELECTRIC DIGITAL DATA PROCESSING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES MEASURING PHYSICS RADIO DIRECTION-FINDING RADIO NAVIGATION TESTING |
| title | TRAINING METHOD AND APPARATUS, TARGET DETECTION METHOD, ELECTRONIC DEVICE 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=2024-12-26T06%3A27%3A40IST&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=WU,%20Liansong&rft.date=2024-10-03&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EAU2023336079A1%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 |