{"id":"https://openalex.org/W4205465928","doi":"https://doi.org/10.1109/bigdata52589.2021.9671545","title":"WRDI: A Multimodal Dataset of mmWave Radar Data and Image","display_name":"WRDI: A Multimodal Dataset of mmWave Radar Data and Image","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W4205465928","doi":"https://doi.org/10.1109/bigdata52589.2021.9671545"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata52589.2021.9671545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671545","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088252711","display_name":"Wang Zhong-ce","orcid":"https://orcid.org/0000-0001-7540-768X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhongce Wang","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070951730","display_name":"Chao Jin","orcid":"https://orcid.org/0000-0002-5615-1145"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chao Jin","raw_affiliation_strings":["Shanghai Oriental Pearl Digital TV CO., Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Oriental Pearl Digital TV CO., Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029869396","display_name":"Lingzhang Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingzhang Sun","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107948333","display_name":"Yunfan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfan Li","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088252711"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.4172,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51185302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3209","last_page":"3214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9955000281333923,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9955000281333923,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7437162399291992},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6557345986366272},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6396636962890625},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.5559864044189453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4775558114051819},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47737500071525574},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4710146188735962},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.44762134552001953},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.43832939863204956},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.42786872386932373},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4215785562992096},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.20421400666236877},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14665177464485168},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14470648765563965},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.08939382433891296}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7437162399291992},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6557345986366272},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6396636962890625},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.5559864044189453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4775558114051819},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47737500071525574},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4710146188735962},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.44762134552001953},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.43832939863204956},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.42786872386932373},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4215785562992096},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.20421400666236877},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14665177464485168},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14470648765563965},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.08939382433891296},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata52589.2021.9671545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671545","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321125","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56"},{"id":"https://openalex.org/F4320321655","display_name":"Science and Technology Development Fund","ror":"https://ror.org/044vr6g03"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1965572316","https://openalex.org/W2031031248","https://openalex.org/W2031489346","https://openalex.org/W2095614026","https://openalex.org/W2108598243","https://openalex.org/W2124781496","https://openalex.org/W2154458843","https://openalex.org/W2291627510","https://openalex.org/W2511791013","https://openalex.org/W2558027072","https://openalex.org/W3001349656","https://openalex.org/W3006643904","https://openalex.org/W3035574168","https://openalex.org/W3105073457","https://openalex.org/W3118479569","https://openalex.org/W3161421216","https://openalex.org/W3206598848","https://openalex.org/W4230808100","https://openalex.org/W6639102338","https://openalex.org/W6696672603","https://openalex.org/W6773536389"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W2885125400","https://openalex.org/W1001352512","https://openalex.org/W1989889224","https://openalex.org/W4382618745","https://openalex.org/W1973775000","https://openalex.org/W4313855562","https://openalex.org/W2091422131"],"abstract_inverted_index":{"Security":[0],"monitoring":[1,52,91],"system":[2],"based":[3],"on":[4],"mmWave":[5,31,61,83],"radar":[6,32,62,84],"and":[7,20,33,47,64,85],"image":[8,34,65,86],"data":[9,63],"fusion":[10],"can":[11],"achieve":[12],"real-time,":[13],"high-sensitivity":[14],"object":[15,45],"detection":[16,46],"throughout":[17],"the":[18,73,80],"day,":[19],"effectively":[21],"filter":[22],"out":[23],"fake":[24],"objects.":[25],"The":[26],"lack":[27],"of":[28,75],"a":[29,40,60],"comprehensive":[30,82],"multimodal":[35,66,87],"dataset":[36,67,88],"has":[37],"always":[38],"been":[39],"bottleneck":[41],"in":[42],"developing":[43],"robust":[44],"tracking":[48],"models":[49],"for":[50,89],"security":[51,90],"system.":[53],"To":[54,72],"fill":[55],"this":[56,78],"gap,":[57],"we":[58],"propose":[59],"(WRDI)":[68],"with":[69],"5000":[70],"frames.":[71],"best":[74],"our":[76],"knowledge,":[77],"is":[79],"first":[81],"field.":[92]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}