{"id":"https://openalex.org/W4411949882","doi":"https://doi.org/10.1109/vnc64509.2025.11054128","title":"Transformer-Based Latency Compensation for Cooperative Perception","display_name":"Transformer-Based Latency Compensation for Cooperative Perception","publication_year":2025,"publication_date":"2025-06-02","ids":{"openalex":"https://openalex.org/W4411949882","doi":"https://doi.org/10.1109/vnc64509.2025.11054128"},"language":"en","primary_location":{"id":"doi:10.1109/vnc64509.2025.11054128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vnc64509.2025.11054128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Vehicular Networking Conference (VNC)","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":null,"display_name":"Yue-Chu Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yue-Chu Cheng","raw_affiliation_strings":["National Taiwan University,Graduate Institute of Networking and Multimedia,Taipei,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University,Graduate Institute of Networking and Multimedia,Taipei,Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033841255","display_name":"Hsiang-Jui Lin","orcid":"https://orcid.org/0000-0002-7012-4792"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsiang-Jui Lin","raw_affiliation_strings":["National Taiwan University,Dept. of Computer Science and Information Engineering,Taipei,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University,Dept. of Computer Science and Information Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057633046","display_name":"Chi\u2010Sheng Shih","orcid":"https://orcid.org/0000-0001-8936-8255"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chi-Sheng Shih","raw_affiliation_strings":["National Taiwan University,Graduate Institute of Networking and Multimedia,Taipei,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University,Graduate Institute of Networking and Multimedia,Taipei,Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13106113,"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":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9818000197410583,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9818000197410583,"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":0.9508000016212463,"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.9394000172615051,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5535538196563721},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49657756090164185},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.48941150307655334},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.4631682336330414},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.3894866704940796},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3217433989048004},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18870067596435547},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1852177381515503},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.1270231306552887},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06446823477745056}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5535538196563721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49657756090164185},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.48941150307655334},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.4631682336330414},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.3894866704940796},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3217433989048004},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18870067596435547},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1852177381515503},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.1270231306552887},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06446823477745056},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vnc64509.2025.11054128","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vnc64509.2025.11054128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Vehicular Networking Conference (VNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2555618208","https://openalex.org/W2738183134","https://openalex.org/W2982681137","https://openalex.org/W3109991383","https://openalex.org/W3168718178","https://openalex.org/W4286544732","https://openalex.org/W4309592030","https://openalex.org/W4310078553","https://openalex.org/W4312526381","https://openalex.org/W4312571135","https://openalex.org/W4312604822","https://openalex.org/W4385245566","https://openalex.org/W4387449317","https://openalex.org/W4388328377","https://openalex.org/W4401344956"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2379084545","https://openalex.org/W2365687337","https://openalex.org/W2358180351","https://openalex.org/W2392368077","https://openalex.org/W2365082216","https://openalex.org/W2388018705","https://openalex.org/W2362703586","https://openalex.org/W2389641749","https://openalex.org/W2864363823"],"abstract_inverted_index":{"The":[0,105],"perception":[1,22],"coverage":[2],"for":[3,113,139],"autonomous":[4],"vehicles":[5,30],"and":[6,18,31,39,44,49,55,98,123,129],"robots":[7],"is":[8],"limited":[9],"by":[10],"the":[11,15,24,36,71,75,80,86,89,93,114,120,124,154],"physical":[12],"properties":[13],"of":[14,77,83,156],"sensing":[16,25],"devices":[17],"safety":[19],"regulations.":[20],"Cooperative":[21],"uses":[23],"data":[26,66,69],"shared":[27],"among":[28,92],"multiple":[29],"roadside":[32],"units":[33],"to":[34,67,73,127,137],"prolong":[35],"sense":[37],"distance":[38],"increase":[40],"safety.":[41],"However,":[42],"communication":[43],"computation":[45],"latency":[46],"become":[47],"inevitable":[48],"critical":[50],"issues.":[51],"This":[52],"work":[53],"designs":[54],"develops":[56],"a":[57],"transformer-based":[58],"model":[59,87],"named":[60],"TransComNet":[61,109],"using":[62],"historical":[63],"point":[64,94],"cloud":[65,95],"predict":[68],"in":[70],"future":[72],"alleviate":[74],"impact":[76],"latency.":[78],"Using":[79],"self-attention":[81],"mechanism":[82],"transformer":[84],"architecture,":[85],"learns":[88],"long-term":[90],"relation":[91],"data\u2019s":[96],"temporal":[97],"spatial":[99],"features,":[100],"thereby":[101,116],"generating":[102],"accurate":[103],"predictions.":[104],"results":[106],"show":[107],"that":[108],"can":[110],"effectively":[111],"compensate":[112],"latency,":[115],"its":[117,132,147],"AP":[118,133],"outperforms":[119],"state-of-the-art":[121],"method":[122],"baseline":[125],"up":[126,136],"6.38%":[128],"9.24%.":[130],"Specifically,":[131],"increases":[134],"significantly":[135],"34.96":[138],"occluded":[140],"moving":[141],"vehicles.":[142],"Last":[143],"but":[144],"not":[145],"least,":[146],"run-time":[148],"inference":[149],"time":[150],"remains":[151],"constant":[152],"when":[153],"number":[155],"connected":[157],"agents":[158],"increases.":[159]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}