{"id":"https://openalex.org/W2970309276","doi":"https://doi.org/10.1109/ivs.2019.8813811","title":"Cooperative Object Classification for Driving Applications","display_name":"Cooperative Object Classification for Driving Applications","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2970309276","doi":"https://doi.org/10.1109/ivs.2019.8813811","mag":"2970309276"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2019.8813811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2019.8813811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://wrap.warwick.ac.uk/157113/1/WRAP-Cooperative-object-classification-driving-applications-2021.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008609865","display_name":"Eduardo Arnold","orcid":"https://orcid.org/0000-0001-7896-7252"},"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":true,"raw_author_name":"Eduardo Arnold","raw_affiliation_strings":["Warwick Manufacturing Group (WMG), University of Warwick, Coventry, U.K"],"affiliations":[{"raw_affiliation_string":"Warwick Manufacturing Group (WMG), University of Warwick, Coventry, U.K","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047057664","display_name":"Omar Y. Al-Jarrah","orcid":"https://orcid.org/0000-0002-6212-9307"},"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":"Omar Y. Al-Jarrah","raw_affiliation_strings":["Warwick Manufacturing Group (WMG), University of Warwick, Coventry, U.K"],"affiliations":[{"raw_affiliation_string":"Warwick Manufacturing Group (WMG), University of Warwick, Coventry, U.K","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068530392","display_name":"Mehrdad Dianati","orcid":"https://orcid.org/0000-0001-5119-4499"},"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":"Mehrdad Dianati","raw_affiliation_strings":["Warwick Manufacturing Group (WMG), University of Warwick, Coventry, U.K"],"affiliations":[{"raw_affiliation_string":"Warwick Manufacturing Group (WMG), University of Warwick, Coventry, U.K","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071227510","display_name":"Saber Fallah","orcid":"https://orcid.org/0000-0002-1298-1040"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Saber Fallah","raw_affiliation_strings":["Centre for Automotive Engineering, University of Surrey, Guildford, U.K"],"affiliations":[{"raw_affiliation_string":"Centre for Automotive Engineering, University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071672383","display_name":"David Oxtoby","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127762","display_name":"Coventry (United Kingdom)","ror":"https://ror.org/030nd5313","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210127762"]},{"id":"https://openalex.org/I130198913","display_name":"Jaguar Land Rover (United Kingdom)","ror":"https://ror.org/03b66v461","country_code":"GB","type":"company","lineage":["https://openalex.org/I130198913"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"David Oxtoby","raw_affiliation_strings":["Jaguar Land Rover Ltd., Coventry, U.K"],"affiliations":[{"raw_affiliation_string":"Jaguar Land Rover Ltd., Coventry, U.K","institution_ids":["https://openalex.org/I130198913","https://openalex.org/I4210127762"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110562574","display_name":"Alex Mouzakitis","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127762","display_name":"Coventry (United Kingdom)","ror":"https://ror.org/030nd5313","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210127762"]},{"id":"https://openalex.org/I130198913","display_name":"Jaguar Land Rover (United Kingdom)","ror":"https://ror.org/03b66v461","country_code":"GB","type":"company","lineage":["https://openalex.org/I130198913"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alex Mouzakitis","raw_affiliation_strings":["Jaguar Land Rover Ltd., Coventry, U.K"],"affiliations":[{"raw_affiliation_string":"Jaguar Land Rover Ltd., Coventry, U.K","institution_ids":["https://openalex.org/I130198913","https://openalex.org/I4210127762"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5008609865"],"corresponding_institution_ids":["https://openalex.org/I39555362"],"apc_list":null,"apc_paid":null,"fwci":0.2043,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.54156092,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2484","last_page":"2489"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9976000189781189,"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":0.9976000189781189,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9972000122070312,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9968000054359436,"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/rendering","display_name":"Rendering (computer graphics)","score":0.7302378416061401},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7300658822059631},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6935361623764038},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6728670001029968},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5419794321060181},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5259349942207336},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5181040167808533},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5079999566078186},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4699295461177826},{"id":"https://openalex.org/keywords/occlusion","display_name":"Occlusion","score":0.46645087003707886},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4144187867641449},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39235252141952515},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11658337712287903}],"concepts":[{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7302378416061401},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7300658822059631},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6935361623764038},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6728670001029968},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5419794321060181},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5259349942207336},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5181040167808533},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5079999566078186},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4699295461177826},{"id":"https://openalex.org/C2776268601","wikidata":"https://www.wikidata.org/wiki/Q968808","display_name":"Occlusion","level":2,"score":0.46645087003707886},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4144187867641449},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39235252141952515},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11658337712287903},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ivs.2019.8813811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2019.8813811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},{"id":"pmh:oai:wrap.warwick.ac.uk:157113","is_oa":true,"landing_page_url":null,"pdf_url":"http://wrap.warwick.ac.uk/157113/1/WRAP-Cooperative-object-classification-driving-applications-2021.pdf","source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Item"}],"best_oa_location":{"id":"pmh:oai:wrap.warwick.ac.uk:157113","is_oa":true,"landing_page_url":null,"pdf_url":"http://wrap.warwick.ac.uk/157113/1/WRAP-Cooperative-object-classification-driving-applications-2021.pdf","source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Item"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1672142431","display_name":"TASCC: Secure Cloud-based Distributed Control (SCDC) Systems for Connected Autonomous Cars","funder_award_id":"EP/N01300X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G2894975126","display_name":null,"funder_award_id":"TASCC","funder_id":"https://openalex.org/F4320316529","funder_display_name":"Jaguar Land Rover"},{"id":"https://openalex.org/G2919768833","display_name":null,"funder_award_id":"EP/N01300X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G4806304024","display_name":null,"funder_award_id":"EP/N01300X/2","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5861606978","display_name":null,"funder_award_id":"EP/N01300X/1","funder_id":"https://openalex.org/F4320316529","funder_display_name":"Jaguar Land Rover"}],"funders":[{"id":"https://openalex.org/F4320316529","display_name":"Jaguar Land Rover","ror":"https://ror.org/03b66v461"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2970309276.pdf","grobid_xml":"https://content.openalex.org/works/W2970309276.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1561952261","https://openalex.org/W1606858007","https://openalex.org/W1644641054","https://openalex.org/W1686810756","https://openalex.org/W1920022804","https://openalex.org/W2030410743","https://openalex.org/W2052816228","https://openalex.org/W2053939793","https://openalex.org/W2100805904","https://openalex.org/W2117539524","https://openalex.org/W2124386111","https://openalex.org/W2134557905","https://openalex.org/W2154458843","https://openalex.org/W2156222070","https://openalex.org/W2190691619","https://openalex.org/W2211722331","https://openalex.org/W2295332248","https://openalex.org/W2413076867","https://openalex.org/W2519379752","https://openalex.org/W2560609797","https://openalex.org/W2749334943","https://openalex.org/W2773142385","https://openalex.org/W2962731536","https://openalex.org/W2962835968","https://openalex.org/W2964105055","https://openalex.org/W2964342398","https://openalex.org/W4394671432","https://openalex.org/W6640300118"],"related_works":["https://openalex.org/W3086692397","https://openalex.org/W2095216647","https://openalex.org/W2582295320","https://openalex.org/W4382561102","https://openalex.org/W2174759944","https://openalex.org/W2060809589","https://openalex.org/W2299928030","https://openalex.org/W3109786615","https://openalex.org/W2055533257","https://openalex.org/W4225320867"],"abstract_inverted_index":{"3D":[0,52],"object":[1,12,53,74,83],"classification":[2,54,75],"can":[3],"be":[4],"realised":[5],"by":[6,65],"rendering":[7],"views":[8,20],"of":[9,51,80,147],"the":[10,19,49,81,129,145],"same":[11,82],"from":[13,85],"different":[14,86],"angles":[15],"and":[16,62,101,117,140,149],"aggregating":[17],"all":[18],"to":[21,91,104,114],"build":[22],"a":[23,72,119],"classifier.":[24],"Although":[25],"this":[26,46],"approach":[27],"has":[28],"been":[29],"previously":[30],"proposed":[31],"for":[32,55],"general":[33],"objects":[34],"classification,":[35],"most":[36],"existing":[37],"works":[38],"did":[39],"not":[40],"consider":[41,97],"visual":[42],"impairments.":[43,105],"In":[44],"contrast,":[45],"paper":[47],"considers":[48],"problem":[50],"driving":[56],"applications":[57],"under":[58],"impairments":[59],"(e.g.":[60],"occlusion":[61,109,116,148],"sensor":[63,121,150],"noise)":[64],"generating":[66],"an":[67,108],"application-specific":[68],"dataset.":[69],"We":[70,96,106],"present":[71],"cooperative":[73,130],"method":[76],"where":[77],"multiple":[78,134],"images":[79],"seen":[84],"perspectives":[87],"(agents)":[88],"are":[89],"exploited":[90],"generate":[92],"more":[93],"accurate":[94],"classification.":[95],"model":[98,110],"generalisation":[99],"capability":[100],"its":[102],"resilience":[103],"introduce":[107],"with":[111],"higher":[112],"resemblance":[113],"real-world":[115],"use":[118],"simplified":[120],"noise":[122],"model.":[123],"The":[124],"experimental":[125],"results":[126],"show":[127],"that":[128],"model,":[131],"relying":[132],"on":[133],"views,":[135],"significantly":[136],"outperforms":[137],"single-view":[138],"methods":[139],"is":[141],"effective":[142],"in":[143],"mitigating":[144],"effects":[146],"noise.":[151]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
