{"id":"https://openalex.org/W4312080676","doi":"https://doi.org/10.1109/mvt.2022.3207453","title":"Integrated Sensor Fusion Based on 4D MIMO Radar and Camera: A Solution for Connected Vehicle Applications","display_name":"Integrated Sensor Fusion Based on 4D MIMO Radar and Camera: A Solution for Connected Vehicle Applications","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4312080676","doi":"https://doi.org/10.1109/mvt.2022.3207453"},"language":"en","primary_location":{"id":"doi:10.1109/mvt.2022.3207453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mvt.2022.3207453","pdf_url":null,"source":{"id":"https://openalex.org/S98855836","display_name":"IEEE Vehicular Technology Magazine","issn_l":"1556-6072","issn":["1556-6072","1556-6080"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Vehicular Technology Magazine","raw_type":"journal-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/A5013642287","display_name":"Ming Lei","orcid":"https://orcid.org/0000-0003-4696-9346"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ming Lei","raw_affiliation_strings":["Senior Platform Architect, Intel, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4696-9346","affiliations":[{"raw_affiliation_string":"Senior Platform Architect, Intel, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045194500","display_name":"Daning Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daning Yang","raw_affiliation_strings":["Raysun Radar Electronic Technology, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Raysun Radar Electronic Technology, Suzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061250156","display_name":"Xiaoming Weng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoming Weng","raw_affiliation_strings":["System Engineer, Raysun Radar Electronic Technology, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"System Engineer, Raysun Radar Electronic Technology, Suzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2995,"currency":"USD","value_usd":2995},"apc_paid":null,"fwci":10.6012,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.97719063,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"17","issue":"4","first_page":"38","last_page":"46"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9998000264167786,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9998000264167786,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/real-time-computing","display_name":"Real-time computing","score":0.6137781143188477},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5730230808258057},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.5039071440696716},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.49562108516693115},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48744896054267883},{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.4618823230266571},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.440798819065094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4253285229206085},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4172722101211548},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4105928838253021},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.382482647895813},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3215788006782532},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1202579140663147},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.09860077500343323}],"concepts":[{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.6137781143188477},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5730230808258057},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.5039071440696716},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.49562108516693115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48744896054267883},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.4618823230266571},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.440798819065094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4253285229206085},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4172722101211548},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4105928838253021},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.382482647895813},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3215788006782532},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1202579140663147},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.09860077500343323},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mvt.2022.3207453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mvt.2022.3207453","pdf_url":null,"source":{"id":"https://openalex.org/S98855836","display_name":"IEEE Vehicular Technology Magazine","issn_l":"1556-6072","issn":["1556-6072","1556-6080"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Vehicular Technology Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1976383685","https://openalex.org/W2018744547","https://openalex.org/W2083506609","https://openalex.org/W2124642594","https://openalex.org/W2138863700","https://openalex.org/W2150560561","https://openalex.org/W2166116309","https://openalex.org/W2772664513","https://openalex.org/W2964166085","https://openalex.org/W3129064307","https://openalex.org/W3210701025","https://openalex.org/W4214716606","https://openalex.org/W4246822819"],"related_works":["https://openalex.org/W3006474185","https://openalex.org/W2055782566","https://openalex.org/W2611761074","https://openalex.org/W2281797687","https://openalex.org/W2358411735","https://openalex.org/W2048211457","https://openalex.org/W2358598243","https://openalex.org/W2483195039","https://openalex.org/W2348165022","https://openalex.org/W2033620553"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"an":[3,27],"integrated":[4],"sensor":[5,98],"fusion":[6,71,99,133],"(ISF)":[7],"solution":[8,151],"based":[9,60,101],"on":[10,61,102],"the":[11,45,51,70,77,115,131,135,149,154,160],"multiple-input,":[12],"multiple-output":[13],"(MIMO)":[14],"radar,":[15],"camera,":[16],"and":[17,36,48,69,91,114,129,156,163],"on-device":[18,78],"computing.":[19],"The":[20,53,64,142],"MIMO":[21],"radar":[22],"is":[23,55],"capable":[24],"of":[25,50,72,112,118,134,139,158,166],"estimating":[26],"object\u2019s":[28],"attributes":[29],"in":[30,89,110],"four":[31],"dimensions\u2014range,":[32],"velocity,":[33],"azimuth":[34],"angle,":[35],"elevation":[37],"angle\u2014which":[38],"can":[39,152],"be":[40],"further":[41],"used":[42],"to":[43],"estimate":[44],"length,":[46],"width,":[47],"height":[49],"object.":[52],"camera":[54],"responsible":[56],"for":[57],"object":[58],"classification":[59],"deep":[62],"learning.":[63],"respective":[65],"signal":[66,136],"processing":[67,137],"pipelines":[68],"results":[73],"are":[74],"carried":[75],"by":[76,148],"computing":[79],"platform.":[80],"These":[81],"two":[82],"sensors":[83,128],"complement":[84],"each":[85],"other":[86],"very":[87],"well":[88],"detecting":[90],"classifying":[92],"traffic":[93],"objects.":[94],"Compared":[95],"with":[96],"existing":[97],"solutions":[100],"multiple":[103],"distributed":[104],"devices,":[105],"ISF":[106,150],"exhibits":[107],"superior":[108],"performance":[109],"terms":[111],"latency":[113],"total":[116],"cost":[117],"ownership":[119],"(TCO).":[120],"It":[121],"also":[122],"simplifies":[123],"time":[124],"synchronization":[125],"among":[126],"different":[127,140],"facilitates":[130],"deeper":[132],"algorithms":[138],"sensors.":[141],"comprehensive":[143],"roadside":[144],"sensing":[145],"capabilities":[146],"provided":[147],"enhance":[153],"safety":[155],"efficiency":[157],"both":[159],"automated":[161],"driving":[162,165],"human":[164],"connected":[167],"vehicles.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}