{"id":"https://openalex.org/W4403395898","doi":"https://doi.org/10.1145/3700442","title":"Temporal-Enhanced Radar and Camera Fusion for Object Detection","display_name":"Temporal-Enhanced Radar and Camera Fusion for Object Detection","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4403395898","doi":"https://doi.org/10.1145/3700442"},"language":"en","primary_location":{"id":"doi:10.1145/3700442","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3700442","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3700442","source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3700442","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038030783","display_name":"Linhua Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linhua Kong","raw_affiliation_strings":["Institute of Information Science, Visual Intellgence +X International Cooperation Joint Laboratory of MOE, Beijing Jiaotong University, Beijing, China","Institute of Information Science, Beijing Jiaotong University, China"],"raw_orcid":"https://orcid.org/0009-0006-0453-0879","affiliations":[{"raw_affiliation_string":"Institute of Information Science, Visual Intellgence +X International Cooperation Joint Laboratory of MOE, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377941","display_name":"Yiming Wang","orcid":"https://orcid.org/0000-0002-8765-7640"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Wang","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing, China","Nanjing University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-8765-7640","affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037345013","display_name":"Dongxia Chang","orcid":"https://orcid.org/0000-0002-9718-4277"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongxia Chang","raw_affiliation_strings":["Institute of Information Science, Visual Intellgence +X International Cooperation Joint Laboratory of MOE, Beijing Jiaotong University, Beijing, China","Institute of Information Science, Beijing Jiaotong University, China"],"raw_orcid":"https://orcid.org/0000-0002-9718-4277","affiliations":[{"raw_affiliation_string":"Institute of Information Science, Visual Intellgence +X International Cooperation Joint Laboratory of MOE, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100362745","display_name":"Yao Zhao","orcid":"https://orcid.org/0000-0002-8581-9554"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Zhao","raw_affiliation_strings":["Institute of Information Science, Visual Intellgence +X International Cooperation Joint Laboratory of MOE, Beijing Jiaotong University, Beijing, China","Institute of Information Science, Beijing Jiaotong University, China"],"raw_orcid":"https://orcid.org/0000-0002-8581-9554","affiliations":[{"raw_affiliation_string":"Institute of Information Science, Visual Intellgence +X International Cooperation Joint Laboratory of MOE, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1646,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87225567,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"21","issue":"1","first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9993000030517578,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9993000030517578,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11105","display_name":"Advanced Image Processing 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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8441702723503113},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6853256225585938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5683996677398682},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4951397478580475},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.48828577995300293},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4847564399242401},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4804931879043579},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.41023749113082886},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3354586362838745},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1361699402332306},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.1078592836856842}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8441702723503113},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6853256225585938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5683996677398682},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4951397478580475},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.48828577995300293},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4847564399242401},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4804931879043579},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.41023749113082886},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3354586362838745},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1361699402332306},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.1078592836856842},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":1,"locations":[{"id":"doi:10.1145/3700442","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3700442","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3700442","source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3700442","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3700442","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3700442","source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2782133125","display_name":null,"funder_award_id":"62272035","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":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4403395898.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W2110514477","https://openalex.org/W2125994488","https://openalex.org/W2377836894","https://openalex.org/W2565639579","https://openalex.org/W2613718673","https://openalex.org/W2805964635","https://openalex.org/W2866634454","https://openalex.org/W2894878591","https://openalex.org/W2967098543","https://openalex.org/W2981689412","https://openalex.org/W2986097283","https://openalex.org/W3006643904","https://openalex.org/W3034971973","https://openalex.org/W3035502324","https://openalex.org/W3035574168","https://openalex.org/W3090266837","https://openalex.org/W3096609285","https://openalex.org/W3103179390","https://openalex.org/W3151130473","https://openalex.org/W3171125843","https://openalex.org/W3190624940","https://openalex.org/W3204554924","https://openalex.org/W4210271974","https://openalex.org/W4213081985","https://openalex.org/W4249428871","https://openalex.org/W4281758439","https://openalex.org/W4294733375","https://openalex.org/W4312559648","https://openalex.org/W4312707458","https://openalex.org/W4313165991","https://openalex.org/W4386075553","https://openalex.org/W4388579784","https://openalex.org/W4390872227","https://openalex.org/W4390872346","https://openalex.org/W4390872444","https://openalex.org/W4390872751","https://openalex.org/W4390874124","https://openalex.org/W4394593161","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2737719445","https://openalex.org/W2099421762","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2031175860","https://openalex.org/W4292830139","https://openalex.org/W4319309705","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Recently,":[0],"object":[1,99,129],"detection":[2],"methods":[3],"based":[4,166],"on":[5,167,179],"multi-modal":[6],"fusion":[7,83,106,135],"have":[8],"gained":[9],"widespread":[10],"adoption":[11],"in":[12,22],"autonomous":[13],"driving,":[14],"proving":[15],"to":[16,38,67,85,110,128,144,171],"be":[17],"valuable":[18],"for":[19,98],"detecting":[20],"objects":[21],"dynamic":[23],"environments.":[24],"Among":[25],"them,":[26],"millimeter":[27],"wave":[28],"(mmWave)":[29],"radar":[30,55,80,113,124,147],"is":[31,42,108,142],"commonly":[32],"utilized":[33],"as":[34,40],"an":[35],"effective":[36],"complement":[37],"cameras,":[39],"it":[41],"almost":[43],"unaffected":[44],"by":[45],"harsh":[46],"weather":[47],"conditions.":[48],"However,":[49],"current":[50],"approaches":[51],"that":[52,161],"fuse":[53,111,145],"mmWave":[54,112,123,146],"and":[56,81,93,148],"camera":[57,82],"often":[58],"overlook":[59],"the":[60,63,87,120,138,180,184],"correlation":[61,88],"between":[62,89],"two":[64,91],"modalities,":[65],"failing":[66],"fully":[68],"exploit":[69],"their":[70],"complementary":[71],"features.":[72,175],"To":[73],"address":[74],"this,":[75],"we":[76,154],"propose":[77],"a":[78,95,104,132,156],"temporal-enhanced":[79],"network":[84,160],"explore":[86],"these":[90],"modalities":[92],"learn":[94],"comprehensive":[96],"representation":[97],"detection.":[100],"In":[101],"our":[102,187],"model,":[103],"temporal":[105],"model":[107],"introduced":[109],"features":[114,150],"from":[115],"different":[116],"moments,":[117],"thus":[118],"mitigating":[119],"problem":[121],"of":[122,186],"point-object":[125],"mismatch":[126],"due":[127],"movement.":[130],"Moreover,":[131],"new":[133],"correlation-based":[134],"strategy":[136],"using":[137],"dedicated":[139],"mask":[140],"cross-attention":[141],"proposed":[143,188],"vision":[149],"more":[151,173],"effectively.":[152],"Finally,":[153],"design":[155],"gate":[157],"feature":[158],"pyramid":[159],"selects":[162],"shallow":[163],"texture":[164],"information":[165,170],"deep":[168],"semantic":[169],"obtain":[172],"representative":[174],"The":[176],"experimental":[177],"results":[178],"nuScenes":[181],"benchmark":[182],"demonstrate":[183],"effectiveness":[185],"method.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
