{"id":"https://openalex.org/W4400647476","doi":"https://doi.org/10.1109/iv55156.2024.10588756","title":"RCAFusion: Cross Rubik Cube Attention Network for Multi-modal Image Fusion of Intelligent Vehicles","display_name":"RCAFusion: Cross Rubik Cube Attention Network for Multi-modal Image Fusion of Intelligent Vehicles","publication_year":2024,"publication_date":"2024-06-02","ids":{"openalex":"https://openalex.org/W4400647476","doi":"https://doi.org/10.1109/iv55156.2024.10588756"},"language":"en","primary_location":{"id":"doi:10.1109/iv55156.2024.10588756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55156.2024.10588756","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100413669","display_name":"Ang Li","orcid":"https://orcid.org/0009-0008-2561-8348"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ang Li","raw_affiliation_strings":["Southeast University of China,School of Mechanical Engineering,China,211189"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University of China,School of Mechanical Engineering,China,211189","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064394634","display_name":"Guodong Yin","orcid":"https://orcid.org/0000-0002-8437-7598"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guodong Yin","raw_affiliation_strings":["Southeast University of China,School of Mechanical Engineering,China,211189"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University of China,School of Mechanical Engineering,China,211189","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107901603","display_name":"Ziwei Wang","orcid":"https://orcid.org/0009-0003-8050-9121"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziwei Wang","raw_affiliation_strings":["Southeast University of China,School of Mechanical Engineering,China,211189"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University of China,School of Mechanical Engineering,China,211189","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040187861","display_name":"Jinhao Liang","orcid":"https://orcid.org/0000-0003-3799-0346"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jinhao Liang","raw_affiliation_strings":["National University of Singapore,Department of Civil and Environmental Engineering,Singapore,119077"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore,Department of Civil and Environmental Engineering,Singapore,119077","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086319208","display_name":"Fanxun Wang","orcid":"https://orcid.org/0009-0004-5270-9748"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanxun Wang","raw_affiliation_strings":["Southeast University of China,School of Mechanical Engineering,China,211189"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University of China,School of Mechanical Engineering,China,211189","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100844637","display_name":"Xin Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Bai","raw_affiliation_strings":["Southeast University of China,School of Mechanical Engineering,China,211189"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University of China,School of Mechanical Engineering,China,211189","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100459796","display_name":"Zhichao Liu","orcid":"https://orcid.org/0000-0001-8102-2399"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhichao Liu","raw_affiliation_strings":["Southeast University of China,School of Mechanical Engineering,China,211189"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University of China,School of Mechanical Engineering,China,211189","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2848","last_page":"2854"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9976000189781189,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9976000189781189,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9664000272750854,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9611999988555908,"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/cube","display_name":"Cube (algebra)","score":0.8075600862503052},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.7308160662651062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.624681293964386},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4918198883533478},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4663409888744354},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4128856658935547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4103526473045349},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40020668506622314},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10729676485061646},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.0841829776763916},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.05843871831893921}],"concepts":[{"id":"https://openalex.org/C53051483","wikidata":"https://www.wikidata.org/wiki/Q861555","display_name":"Cube (algebra)","level":2,"score":0.8075600862503052},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.7308160662651062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.624681293964386},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4918198883533478},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4663409888744354},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4128856658935547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4103526473045349},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40020668506622314},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10729676485061646},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0841829776763916},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.05843871831893921},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv55156.2024.10588756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55156.2024.10588756","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2752782242","https://openalex.org/W2798987894","https://openalex.org/W2912147220","https://openalex.org/W2963787388","https://openalex.org/W3039415429","https://openalex.org/W3046194589","https://openalex.org/W3102411220","https://openalex.org/W3105639468","https://openalex.org/W3108042295","https://openalex.org/W3133700567","https://openalex.org/W3158080681","https://openalex.org/W3159674265","https://openalex.org/W3190808861","https://openalex.org/W4206713196","https://openalex.org/W4220893768","https://openalex.org/W4220927862","https://openalex.org/W4283732315","https://openalex.org/W4285600783","https://openalex.org/W4289752563","https://openalex.org/W4312594135","https://openalex.org/W4385299427","https://openalex.org/W4385322639","https://openalex.org/W4386076504","https://openalex.org/W4387385585","https://openalex.org/W4388823657","https://openalex.org/W4389252684","https://openalex.org/W4391217220"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2095903272","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331"],"abstract_inverted_index":{"Multi-modal":[0],"fused":[1,135,141],"images":[2,142],"can":[3,156],"provide":[4],"reliable":[5],"perceptual":[6],"information":[7,24,35,42,51,81,93],"for":[8],"intelligent":[9,55],"vehicles":[10],"in":[11,36,54,111,124,132,149,164],"various":[12],"weather":[13],"and":[14,71,87,102,127,155,172],"lighting":[15],"conditions.":[16],"However,":[17],"most":[18],"existing":[19],"fusion":[20,52,113,122],"algorithms":[21,123],"neglect":[22],"the":[23,46,59,69,96,107,112,129,133,140,150,161,165],"interactions":[25],"among":[26,84],"different":[27,85],"modalities,":[28,86],"leading":[29],"to":[30],"a":[31,75,90],"loss":[32],"of":[33,48,74],"essential":[34],"transportation":[37],"systems":[38],"characterized":[39],"by":[40,68,144],"strong":[41],"correlations.":[43],"To":[44],"enhance":[45,106],"quality":[47],"multi-modal":[49],"semantic":[50],"perception":[53],"vehicles,":[56],"we":[57],"propose":[58],"Cross":[60],"Rubik":[61],"Cube":[62],"Attention":[63],"Fusion":[64],"Network":[65],"(RCAFusion).":[66],"Inspired":[67],"shape":[70],"recovery":[72],"process":[73],"Rubik\u2019s":[76],"Cube,":[77],"RCAFusion":[78,119,145],"establishes":[79],"an":[80],"interaction":[82],"pathway":[83],"it":[88],"achieves":[89],"more":[91],"comprehensive":[92],"crossover":[94],"through":[95],"simultaneous":[97],"spatial":[98],"attention,":[99,101],"channel":[100],"self-attention":[103],"mechanisms,":[104],"which":[105],"feature":[108],"extraction":[109],"effect":[110],"architecture.":[114],"Experimental":[115],"results":[116,148],"demonstrate":[117],"that":[118],"outperforms":[120],"mainstream":[121],"several":[125],"metrics":[126],"obtains":[128],"highest":[130],"score":[131],"objective":[134],"image":[136,151],"metric":[137],"Qabf.":[138],"Moreover,":[139],"output":[143],"have":[146],"good":[147],"object":[152],"detection":[153],"task":[154],"achieve":[157],"95.4%":[158],"mAP":[159],"using":[160],"yolov8m":[162],"model":[163,171],"MSRS":[166],"open":[167],"source":[168],"datasets.":[169],"Pre-trained":[170],"code":[173],"are":[174],"available":[175],"at":[176],"https://github.com/vehicle-AngLi/RCAFusion.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}