{"id":"https://openalex.org/W3026399543","doi":"https://doi.org/10.3390/s20102870","title":"Large-Scale Place Recognition Based on Camera-LiDAR Fused Descriptor","display_name":"Large-Scale Place Recognition Based on Camera-LiDAR Fused Descriptor","publication_year":2020,"publication_date":"2020-05-19","ids":{"openalex":"https://openalex.org/W3026399543","doi":"https://doi.org/10.3390/s20102870","mag":"3026399543","pmid":"https://pubmed.ncbi.nlm.nih.gov/32438550"},"language":"en","primary_location":{"id":"doi:10.3390/s20102870","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20102870","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/s20102870","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086702173","display_name":"Shaorong Xie","orcid":"https://orcid.org/0000-0002-8016-9310"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaorong Xie","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102812589","display_name":"Chao Pan","orcid":"https://orcid.org/0000-0002-3257-9120"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Pan","raw_affiliation_strings":["School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China"],"raw_orcid":"https://orcid.org/0000-0002-3257-9120","affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033203506","display_name":"Yaxin Peng","orcid":"https://orcid.org/0000-0002-2983-555X"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yaxin Peng","raw_affiliation_strings":["Department of Mathematics, School of Science, Shanghai University, Shanghai 200444, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, School of Science, Shanghai University, Shanghai 200444, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114310278","display_name":"Ke Liu","orcid":"https://orcid.org/0000-0002-7969-2614"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Liu","raw_affiliation_strings":["Department of Mathematics, School of Science, Shanghai University, Shanghai 200444, China"],"raw_orcid":"https://orcid.org/0000-0002-7969-2614","affiliations":[{"raw_affiliation_string":"Department of Mathematics, School of Science, Shanghai University, Shanghai 200444, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063863772","display_name":"Shihui Ying","orcid":"https://orcid.org/0000-0001-9423-0146"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihui Ying","raw_affiliation_strings":["Department of Mathematics, School of Science, Shanghai University, Shanghai 200444, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, School of Science, Shanghai University, Shanghai 200444, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033203506"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":39.2476,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.99415999,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"20","issue":"10","first_page":"2870","last_page":"2870"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7712571620941162},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.768354058265686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.693403959274292},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.684113621711731},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6810865998268127},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.5847371816635132},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5622527599334717},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.5555409789085388},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.50770103931427},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.49795985221862793},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4253693222999573},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4074697196483612},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28851115703582764},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.23586022853851318},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15205925703048706},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14865034818649292}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7712571620941162},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.768354058265686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.693403959274292},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.684113621711731},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6810865998268127},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.5847371816635132},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5622527599334717},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.5555409789085388},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.50770103931427},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.49795985221862793},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4253693222999573},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4074697196483612},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28851115703582764},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.23586022853851318},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15205925703048706},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14865034818649292},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s20102870","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20102870","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:32438550","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32438550","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:21f68cb2d9a4424c829d605694b319d9","is_oa":true,"landing_page_url":"https://doaj.org/article/21f68cb2d9a4424c829d605694b319d9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 20, Iss 10, p 2870 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/10/2870/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s20102870","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7288288","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7288288","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20102870","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20102870","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G4491304052","display_name":"\u591a\u4efb\u52a1\u73af\u5883\u4e0b\u5de5\u4ef6\u5e26\u6709\u591a\u4e2a\u65f6\u95f4\u8282\u70b9\u7684\u6392\u5e8f\u95ee\u9898\u7814\u7a76","funder_award_id":"11871327","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5221450027","display_name":"\u4e09\u7ef4\u533b\u5b66\u5f71\u50cf\u56fe\u8c31\u51e0\u4f55\u5efa\u6a21\u4e0e\u5185\u8574\u7b97\u6cd5\u7814\u7a76","funder_award_id":"11771276","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W963660264","https://openalex.org/W1552672384","https://openalex.org/W1556531089","https://openalex.org/W1564871316","https://openalex.org/W1612997784","https://openalex.org/W1679894842","https://openalex.org/W1972485825","https://openalex.org/W1987488988","https://openalex.org/W2012592962","https://openalex.org/W2023991840","https://openalex.org/W2033574012","https://openalex.org/W2041469568","https://openalex.org/W2051610568","https://openalex.org/W2054957336","https://openalex.org/W2071027807","https://openalex.org/W2087387266","https://openalex.org/W2090080269","https://openalex.org/W2098764590","https://openalex.org/W2105516263","https://openalex.org/W2106053110","https://openalex.org/W2108333036","https://openalex.org/W2115579991","https://openalex.org/W2119605622","https://openalex.org/W2131846894","https://openalex.org/W2144824356","https://openalex.org/W2151103935","https://openalex.org/W2160821342","https://openalex.org/W2168951883","https://openalex.org/W2194775991","https://openalex.org/W2213387816","https://openalex.org/W2340690086","https://openalex.org/W2341106191","https://openalex.org/W2522897152","https://openalex.org/W2565998037","https://openalex.org/W2580440899","https://openalex.org/W2596341176","https://openalex.org/W2615272157","https://openalex.org/W2615775638","https://openalex.org/W2620629206","https://openalex.org/W2624503621","https://openalex.org/W2790872702","https://openalex.org/W2799162093","https://openalex.org/W2802299072","https://openalex.org/W2888486794","https://openalex.org/W2910489334","https://openalex.org/W2938170127","https://openalex.org/W2947441205","https://openalex.org/W2950642167","https://openalex.org/W2951399172","https://openalex.org/W2962731536","https://openalex.org/W2963125676","https://openalex.org/W2963507712","https://openalex.org/W2963708168","https://openalex.org/W2980671302","https://openalex.org/W2998944198","https://openalex.org/W3099455272","https://openalex.org/W3103648783","https://openalex.org/W6640300118","https://openalex.org/W6738045513","https://openalex.org/W6751360456"],"related_works":["https://openalex.org/W2783354812","https://openalex.org/W4384112194","https://openalex.org/W2103009189","https://openalex.org/W4312958259","https://openalex.org/W4308259661","https://openalex.org/W4390813131","https://openalex.org/W2594043982","https://openalex.org/W3036493597","https://openalex.org/W4293094720","https://openalex.org/W2739701376"],"abstract_inverted_index":{"In":[0,52],"the":[1,19,29,42,64,72,84,88,96,108,112,126,142,152],"field":[2],"of":[3,12,24,111,128],"autonomous":[4],"driving,":[5],"carriers":[6],"are":[7],"equipped":[8],"with":[9],"a":[10,57,101,121],"variety":[11],"sensors,":[13],"including":[14],"cameras":[15],"and":[16,26,28,36,66,114,118,137,149],"LiDARs.":[17],"However,":[18],"camera":[20],"suffers":[21],"from":[22,44],"problems":[23],"illumination":[25],"occlusion,":[27],"LiDAR":[30],"encounters":[31],"motion":[32],"distortion,":[33],"degenerate":[34],"environment":[35],"limited":[37],"ranging":[38],"distance.":[39],"Therefore,":[40],"fusing":[41],"information":[43],"these":[45],"two":[46],"sensors":[47],"deserves":[48],"to":[49,70,94,124],"be":[50,79],"explored.":[51],"this":[53],"paper,":[54],"we":[55],"propose":[56],"fusion":[58,103],"network":[59],"which":[60,105],"robustly":[61],"captures":[62,106],"both":[63,107],"image":[65,113],"point":[67,89,116],"cloud":[68,90],"descriptors":[69],"solve":[71],"place":[73],"recognition":[74,97],"problem.":[75],"Our":[76],"contribution":[77],"can":[78],"summarized":[80],"as:":[81],"(1)":[82],"applying":[83],"trimmed":[85],"strategy":[86],"in":[87],"global":[91,131],"feature":[92],"aggregation":[93],"improve":[95],"performance,":[98],"(2)":[99],"building":[100],"compact":[102],"framework":[104],"robust":[109,148],"representation":[110],"3D":[115],"cloud,":[117],"(3)":[119],"learning":[120],"proper":[122],"metric":[123],"describe":[125],"similarity":[127],"our":[129],"fused":[130,144],"feature.":[132],"The":[133],"experiments":[134],"on":[135],"KITTI":[136],"KAIST":[138],"datasets":[139],"show":[140],"that":[141],"proposed":[143],"descriptor":[145],"is":[146],"more":[147],"discriminative":[150],"than":[151],"single":[153],"sensor":[154],"descriptor.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}