{"id":"https://openalex.org/W4400647992","doi":"https://doi.org/10.1109/iv55156.2024.10588608","title":"Unlocking Past Information: Temporal Embeddings in Cooperative Bird\u2019s Eye View Prediction","display_name":"Unlocking Past Information: Temporal Embeddings in Cooperative Bird\u2019s Eye View Prediction","publication_year":2024,"publication_date":"2024-06-02","ids":{"openalex":"https://openalex.org/W4400647992","doi":"https://doi.org/10.1109/iv55156.2024.10588608"},"language":"en","primary_location":{"id":"doi:10.1109/iv55156.2024.10588608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55156.2024.10588608","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":"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/A5035463878","display_name":"Dominik R\u00f6\u00dfle","orcid":"https://orcid.org/0000-0002-9025-7824"},"institutions":[{"id":"https://openalex.org/I4210106192","display_name":"Technische Hochschule Ingolstadt","ror":"https://ror.org/02bxzcy64","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210106192"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Dominik R\u00f6\u00dfle","raw_affiliation_strings":["Technische Hochschule Ingolstadt,Department of Computer Science and AImotion Bavaria,Ingolstadt,Germany,85049"],"affiliations":[{"raw_affiliation_string":"Technische Hochschule Ingolstadt,Department of Computer Science and AImotion Bavaria,Ingolstadt,Germany,85049","institution_ids":["https://openalex.org/I4210106192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093800140","display_name":"Jeremias Gerner","orcid":null},"institutions":[{"id":"https://openalex.org/I4210106192","display_name":"Technische Hochschule Ingolstadt","ror":"https://ror.org/02bxzcy64","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210106192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jeremias Gerner","raw_affiliation_strings":["Technische Hochschule Ingolstadt,Department of Electrical Engineering and AImotion Bavaria,Ingolstadt,Germany,85049"],"affiliations":[{"raw_affiliation_string":"Technische Hochschule Ingolstadt,Department of Electrical Engineering and AImotion Bavaria,Ingolstadt,Germany,85049","institution_ids":["https://openalex.org/I4210106192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066761905","display_name":"Klaus Bogenberger","orcid":"https://orcid.org/0000-0003-3868-9571"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Klaus Bogenberger","raw_affiliation_strings":["Technical University of Munich,School of Engineering and Design,München,Germany,80333"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich,School of Engineering and Design,München,Germany,80333","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087710605","display_name":"Daniel Cremers","orcid":"https://orcid.org/0000-0002-3079-7984"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel Cremers","raw_affiliation_strings":["Technical University of Munich,School of Computation, Information and Technology,Garching,Germany,85748"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich,School of Computation, Information and Technology,Garching,Germany,85748","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062417933","display_name":"Stefanie Schmidtner","orcid":"https://orcid.org/0000-0003-2300-2159"},"institutions":[{"id":"https://openalex.org/I4210106192","display_name":"Technische Hochschule Ingolstadt","ror":"https://ror.org/02bxzcy64","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210106192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefanie Schmidtner","raw_affiliation_strings":["Technische Hochschule Ingolstadt,Department of Electrical Engineering and AImotion Bavaria,Ingolstadt,Germany,85049"],"affiliations":[{"raw_affiliation_string":"Technische Hochschule Ingolstadt,Department of Electrical Engineering and AImotion Bavaria,Ingolstadt,Germany,85049","institution_ids":["https://openalex.org/I4210106192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078954824","display_name":"Torsten Sch\u00f6n","orcid":"https://orcid.org/0000-0001-5763-3392"},"institutions":[{"id":"https://openalex.org/I4210106192","display_name":"Technische Hochschule Ingolstadt","ror":"https://ror.org/02bxzcy64","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210106192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Torsten Sch\u00f6n","raw_affiliation_strings":["Technische Hochschule Ingolstadt,Department of Computer Science and AImotion Bavaria,Ingolstadt,Germany,85049"],"affiliations":[{"raw_affiliation_string":"Technische Hochschule Ingolstadt,Department of Computer Science and AImotion Bavaria,Ingolstadt,Germany,85049","institution_ids":["https://openalex.org/I4210106192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5035463878"],"corresponding_institution_ids":["https://openalex.org/I4210106192"],"apc_list":null,"apc_paid":null,"fwci":1.0902,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75596026,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2220","last_page":"2225"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.8622999787330627,"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"}},"topics":[{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.8622999787330627,"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"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.8438000082969666,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.8361999988555908,"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":0.6868711709976196},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41456252336502075}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6868711709976196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41456252336502075}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv55156.2024.10588608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv55156.2024.10588608","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":[{"score":0.6200000047683716,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W2985739927","https://openalex.org/W3036587719","https://openalex.org/W3109991383","https://openalex.org/W3201193904","https://openalex.org/W3212352499","https://openalex.org/W4226305814","https://openalex.org/W4294831433","https://openalex.org/W4297411803","https://openalex.org/W4303856844","https://openalex.org/W4312641958","https://openalex.org/W4312894406","https://openalex.org/W4319449817","https://openalex.org/W4383066393","https://openalex.org/W4386072002","https://openalex.org/W4386083148","https://openalex.org/W4390874305","https://openalex.org/W4391770204","https://openalex.org/W6745935785","https://openalex.org/W6779390028","https://openalex.org/W6784094891","https://openalex.org/W6802966573","https://openalex.org/W6811230113","https://openalex.org/W6839180059","https://openalex.org/W6842774165"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Accurate":[0],"and":[1,14,65,89,148,165,187],"comprehensive":[2],"Bird\u2019s":[3],"Eye":[4],"View":[5],"(BEV)":[6],"semantic":[7],"segmentation":[8,68],"is":[9,115,197],"essential":[10],"for":[11,110],"ensuring":[12],"safe":[13],"proactive":[15],"navigation":[16],"in":[17,34,145,154],"autonomous":[18],"driving.":[19],"Although":[20],"cooperative":[21,35,55,126],"perception":[22,36,56,127],"has":[23],"exceeded":[24],"the":[25,87,135,161,173],"detection":[26],"capabilities":[27],"of":[28,91,163],"single-agent":[29,59],"systems,":[30],"prevalent":[31],"camera-based":[32,125],"algorithms":[33],"neglect":[37],"valuable":[38],"information":[39,105],"derived":[40],"from":[41],"historical":[42,80,170],"observations.":[43],"This":[44,70],"limitation":[45],"becomes":[46],"critical":[47],"during":[48],"sensor":[49],"failures":[50,190],"or":[51],"communication":[52,157,181,189],"issues":[53],"as":[54],"reverts":[57],"to":[58,62,78,101,168,185,193],"perception,":[60],"leading":[61],"degraded":[63],"performance":[64],"incomplete":[66],"BEV":[67,92,111,150,175],"maps.":[69],"paper":[71],"introduces":[72],"TempCoBEV,":[73],"a":[74],"temporal":[75,104,118],"module":[76,119],"designed":[77],"incorporate":[79],"cues":[81,171],"into":[82,123,172],"current":[83,147,174],"observations,":[84],"thereby":[85],"improving":[86,177],"quality":[88],"reliability":[90],"map":[93,112,151],"segmentations.":[94],"We":[95,129,159],"propose":[96],"an":[97,116],"importance-guided":[98],"attention":[99],"architecture":[100],"effectively":[102],"integrate":[103,169],"that":[106,120,138],"prioritizes":[107],"relevant":[108],"properties":[109],"segmentation.":[113],"TempCoBEV":[114,139,164],"independent":[117],"seamlessly":[121],"integrates":[122],"state-of-the-art":[124],"models.":[128],"demonstrate":[130],"through":[131],"extensive":[132],"experiments":[133],"on":[134],"OPV2V":[136],"dataset":[137],"performs":[140],"better":[141],"than":[142],"non-temporal":[143],"models":[144],"predicting":[146],"future":[149],"segmentations,":[152],"particularly":[153],"scenarios":[155],"involving":[156],"failures.":[158],"show":[160],"efficacy":[162],"its":[166],"capability":[167],"map,":[176],"predictions":[178],"under":[179,188],"optimal":[180],"conditions":[182],"by":[183,191],"up":[184,192],"2%":[186],"19%.":[194],"The":[195],"code":[196],"available":[198],"at":[199],"https://github.com/cvims/TempCoBEV.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}