{"id":"https://openalex.org/W4414459281","doi":"https://doi.org/10.1109/bmsb65076.2025.11165555","title":"A Transformer-based Temporal Feature Fusion Approach for Autonomous Driving BEV Perception","display_name":"A Transformer-based Temporal Feature Fusion Approach for Autonomous Driving BEV Perception","publication_year":2025,"publication_date":"2025-06-11","ids":{"openalex":"https://openalex.org/W4414459281","doi":"https://doi.org/10.1109/bmsb65076.2025.11165555"},"language":"en","primary_location":{"id":"doi:10.1109/bmsb65076.2025.11165555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmsb65076.2025.11165555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","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/A5102638618","display_name":"Ziyang Xiong","orcid":"https://orcid.org/0009-0007-8733-7667"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyang Xiong","raw_affiliation_strings":["Wuhan University of Technology,School of Information Engineering,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology,School of Information Engineering,Wuhan,China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057745454","display_name":"Yi Zhong","orcid":"https://orcid.org/0000-0001-6490-1981"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhong","raw_affiliation_strings":["Wuhan University of Technology,School of Information Engineering,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology,School of Information Engineering,Wuhan,China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055241640","display_name":"Yi Han","orcid":"https://orcid.org/0000-0003-4669-9892"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Han","raw_affiliation_strings":["Wuhan University of Technology,School of Information Engineering,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology,School of Information Engineering,Wuhan,China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026865002","display_name":"Mingxi Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingxi Liao","raw_affiliation_strings":["Wuhan University of Technology,Undergraduate School,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology,Undergraduate School,Wuhan,China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066483747","display_name":"Ting Bi","orcid":"https://orcid.org/0000-0001-6196-5613"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Bi","raw_affiliation_strings":["Huazhong University of Science and Technology,School of Cyber Science and Engineering,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,School of Cyber Science and Engineering,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014642016","display_name":"Zhenhui Yuan","orcid":"https://orcid.org/0000-0001-5676-6433"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhenhui Yuan","raw_affiliation_strings":["University of Warwick,School of Engineering,Coventry,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Warwick,School of Engineering,Coventry,UK","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050234051","display_name":"Gabriel\u2010Miro Muntean","orcid":"https://orcid.org/0000-0002-9332-4770"},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Gabriel-Miro Muntean","raw_affiliation_strings":["Dublin City University,Performance Engineering Lab (PEL) School of Electronic Engineering,Dublin,Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dublin City University,Performance Engineering Lab (PEL) School of Electronic Engineering,Dublin,Ireland","institution_ids":["https://openalex.org/I42934936"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21696334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9532999992370605,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9532999992370605,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9440000057220459,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.934499979019165,"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/perception","display_name":"Perception","score":0.7114999890327454},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6280999779701233},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5641999840736389},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4747999906539917},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.47209998965263367},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4666000008583069},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.44369998574256897},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.40049999952316284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7439000010490417},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.7114999890327454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6916999816894531},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6280999779701233},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5655999779701233},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5641999840736389},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4747999906539917},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.47209998965263367},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4666000008583069},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.44369998574256897},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.40049999952316284},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.35659998655319214},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.3021000027656555},{"id":"https://openalex.org/C28063669","wikidata":"https://www.wikidata.org/wiki/Q7167042","display_name":"Perceptual system","level":3,"score":0.2912999987602234},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.28790000081062317},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.28780001401901245},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.28600001335144043},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.2847000062465668},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2702000141143799}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmsb65076.2025.11165555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmsb65076.2025.11165555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320847","display_name":"Science Foundation Ireland","ror":"https://ror.org/0271asj38"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2944851425","https://openalex.org/W3034971973","https://openalex.org/W3035574168","https://openalex.org/W3109395584","https://openalex.org/W3126721948","https://openalex.org/W3177318507","https://openalex.org/W3210279979","https://openalex.org/W4225793049","https://openalex.org/W4226021377","https://openalex.org/W4281757060","https://openalex.org/W4287847321","https://openalex.org/W4382464460","https://openalex.org/W4385257519","https://openalex.org/W4385882040","https://openalex.org/W4390872833","https://openalex.org/W4400110291","https://openalex.org/W4400411181","https://openalex.org/W4401689299","https://openalex.org/W4402352048","https://openalex.org/W4405219754","https://openalex.org/W4405785436","https://openalex.org/W4405787442"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,8,81,108,114,123,132,142,155],"rapid":[2],"development":[3],"of":[4,107,117,135],"autonomous":[5],"driving":[6],"technology,":[7],"requirements":[9,66],"for":[10,13,61],"intelligent":[11],"perception":[12,33,49,90,133],"complex":[14,45],"dynamic":[15,136],"environments":[16],"are":[17],"becoming":[18,68],"increasingly":[19,69],"stringent.":[20],"In":[21],"comparison":[22],"to":[23,112,148,169],"tranditional":[24],"2D":[25],"image":[26],"based":[27],"perception,":[28],"Bird\u2019s":[29],"Eye":[30],"View":[31],"(BEV)":[32],"unifies":[34],"multi-source":[35],"data":[36],"and":[37,64,127,151,164],"can":[38,145],"furnish":[39],"more":[40],"comprehensive":[41],"contextual":[42],"information":[43],"in":[44,76,161],"scenes.":[46],"However,":[47],"BEV":[48,89],"algorithms":[50],"also":[51],"face":[52],"huge":[53],"challenges.":[54],"The":[55],"contradiction":[56],"between":[57],"their":[58,74],"high":[59],"demand":[60],"computing":[62],"resources":[63],"real-time":[65,128],"is":[67],"prominent,":[70],"which":[71],"seriously":[72],"limits":[73],"performance":[75,160],"practical":[77],"deployment.":[78],"To":[79],"address":[80],"above":[82],"problems,":[83],"this":[84,102],"paper":[85,103],"proposes":[86],"a":[87,95],"Transformer-based":[88],"algorithm":[91],"(STBEV).":[92],"By":[93],"designing":[94],"novel":[96],"temporal":[97,119],"feature":[98],"fusion":[99,115],"module":[100],"(FFM),":[101],"makes":[104],"full":[105],"use":[106],"sparse":[109],"attention":[110],"mechanism":[111],"optimize":[113],"process":[116],"multi-frame":[118],"features,":[120],"significantly":[121],"improving":[122],"algorithm's":[124],"computational":[125],"efficiency":[126],"performance,":[129],"while":[130],"maintaining":[131],"accuracy":[134],"environments.":[137],"Experimental":[138],"results":[139],"show":[140],"that":[141],"proposed":[143],"STBEV":[144],"run":[146],"up":[147],"55.8":[149],"NDS":[150],"45.4":[152],"mAP":[153],"on":[154],"nuScenes":[156],"dataset,":[157],"achieving":[158],"superior":[159],"object":[162],"detection":[163],"scene":[165],"understanding":[166],"tasks":[167],"compared":[168],"state-of-the-art":[170],"approaches.":[171]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
