{"id":"https://openalex.org/W4312232080","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892478","title":"Lane Marking Detection and Classification using Spatial-Temporal Feature Pooling","display_name":"Lane Marking Detection and Classification using Spatial-Temporal Feature Pooling","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312232080","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892478"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892478","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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/A5044691612","display_name":"Lucas Tabelini","orcid":"https://orcid.org/0000-0001-5371-6692"},"institutions":[{"id":"https://openalex.org/I51235708","display_name":"Universidade Federal do Esp\u00edrito Santo","ror":"https://ror.org/05sxf4h28","country_code":"BR","type":"education","lineage":["https://openalex.org/I51235708"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Lucas Tabelini","raw_affiliation_strings":["Universidade Federal do Esp&#x00ED;rito Santo,Departamento de Inform&#x00E1;tica,Vit&#x00F3;ria,Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal do Esp&#x00ED;rito Santo,Departamento de Inform&#x00E1;tica,Vit&#x00F3;ria,Brazil","institution_ids":["https://openalex.org/I51235708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084789423","display_name":"Rodrigo F. Berriel","orcid":"https://orcid.org/0000-0002-6701-893X"},"institutions":[{"id":"https://openalex.org/I51235708","display_name":"Universidade Federal do Esp\u00edrito Santo","ror":"https://ror.org/05sxf4h28","country_code":"BR","type":"education","lineage":["https://openalex.org/I51235708"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rodrigo Berriel","raw_affiliation_strings":["Universidade Federal do Esp&#x00ED;rito Santo,Departamento de Inform&#x00E1;tica,Vit&#x00F3;ria,Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal do Esp&#x00ED;rito Santo,Departamento de Inform&#x00E1;tica,Vit&#x00F3;ria,Brazil","institution_ids":["https://openalex.org/I51235708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005735333","display_name":"Alberto F. De Souza","orcid":"https://orcid.org/0000-0003-1561-8447"},"institutions":[{"id":"https://openalex.org/I51235708","display_name":"Universidade Federal do Esp\u00edrito Santo","ror":"https://ror.org/05sxf4h28","country_code":"BR","type":"education","lineage":["https://openalex.org/I51235708"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alberto F. De Souza","raw_affiliation_strings":["Universidade Federal do Esp&#x00ED;rito Santo,Departamento de Inform&#x00E1;tica,Vit&#x00F3;ria,Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal do Esp&#x00ED;rito Santo,Departamento de Inform&#x00E1;tica,Vit&#x00F3;ria,Brazil","institution_ids":["https://openalex.org/I51235708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056260430","display_name":"Claudine Badu\u00e9","orcid":"https://orcid.org/0000-0003-1810-8581"},"institutions":[{"id":"https://openalex.org/I51235708","display_name":"Universidade Federal do Esp\u00edrito Santo","ror":"https://ror.org/05sxf4h28","country_code":"BR","type":"education","lineage":["https://openalex.org/I51235708"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Claudine Badue","raw_affiliation_strings":["Universidade Federal do Esp&#x00ED;rito Santo,Departamento de Inform&#x00E1;tica,Vit&#x00F3;ria,Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal do Esp&#x00ED;rito Santo,Departamento de Inform&#x00E1;tica,Vit&#x00F3;ria,Brazil","institution_ids":["https://openalex.org/I51235708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037893575","display_name":"Thiago Oliveira-Santos","orcid":"https://orcid.org/0000-0001-7607-635X"},"institutions":[{"id":"https://openalex.org/I51235708","display_name":"Universidade Federal do Esp\u00edrito Santo","ror":"https://ror.org/05sxf4h28","country_code":"BR","type":"education","lineage":["https://openalex.org/I51235708"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Thiago Oliveira-Santos","raw_affiliation_strings":["Universidade Federal do Esp&#x00ED;rito Santo,Departamento de Inform&#x00E1;tica,Vit&#x00F3;ria,Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal do Esp&#x00ED;rito Santo,Departamento de Inform&#x00E1;tica,Vit&#x00F3;ria,Brazil","institution_ids":["https://openalex.org/I51235708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5044691612"],"corresponding_institution_ids":["https://openalex.org/I51235708"],"apc_list":null,"apc_paid":null,"fwci":1.2979,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82559272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8308679461479187},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.801524817943573},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7400850057601929},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7009341716766357},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.668910026550293},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.61849445104599},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5946691632270813},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5385315418243408},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5233087539672852},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.506904661655426},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4628296196460724},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4597516357898712},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43905457854270935},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08038222789764404}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8308679461479187},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.801524817943573},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7400850057601929},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7009341716766357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.668910026550293},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.61849445104599},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5946691632270813},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5385315418243408},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5233087539672852},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.506904661655426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4628296196460724},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4597516357898712},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43905457854270935},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08038222789764404},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892478","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2118129736","https://openalex.org/W2128532956","https://openalex.org/W2131076267","https://openalex.org/W2194775991","https://openalex.org/W2335901184","https://openalex.org/W2743418434","https://openalex.org/W2780740184","https://openalex.org/W2793130599","https://openalex.org/W2921536280","https://openalex.org/W2963037989","https://openalex.org/W2963503215","https://openalex.org/W2964199920","https://openalex.org/W2981441441","https://openalex.org/W2981992989","https://openalex.org/W2990205821","https://openalex.org/W2998590856","https://openalex.org/W3034985293","https://openalex.org/W3035042565","https://openalex.org/W3047375952","https://openalex.org/W3093016409","https://openalex.org/W3100935401","https://openalex.org/W3106250896","https://openalex.org/W3108280663","https://openalex.org/W3109790059","https://openalex.org/W3119586106","https://openalex.org/W3157173860","https://openalex.org/W3176566042","https://openalex.org/W3194912724","https://openalex.org/W4293437100","https://openalex.org/W6776147281","https://openalex.org/W6781227068","https://openalex.org/W6784713722","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2953234277"],"abstract_inverted_index":{"The":[0],"lane":[1,32,52],"detection":[2,148],"problem":[3],"has":[4,41],"been":[5],"extensively":[6],"researched":[7],"in":[8,34,99],"the":[9,14,20,26,31,38,44,49,57,81,84,95,100,104,117,127,132,136,142,147,151,183],"past":[10],"decades,":[11],"especially":[12],"since":[13],"advent":[15],"of":[16,51,56,83,94],"deep":[17],"learning.":[18],"Despite":[19],"numerous":[21],"works":[22,91],"proposing":[23],"solutions":[24],"to":[25,77,125],"localization":[27],"task":[28,40,134],"(i.e.,":[29],"localizing":[30],"boundaries":[33],"an":[35,123,163],"input":[36],"image),":[37],"classification":[39,133,172],"not":[42,72],"seen":[43],"same":[45],"focus.":[46],"Nonetheless,":[47],"knowing":[48],"type":[50,82],"boundary,":[53],"particularly":[54],"that":[55,141,167,176],"ego":[58,85],"lane,":[59],"can":[60,145],"be":[61,73],"very":[62,89],"useful":[63],"for":[64,182],"many":[65],"applications.":[66],"For":[67],"instance,":[68],"a":[69,109,159,170,179],"vehicle":[70],"might":[71],"allowed":[74],"by":[75,103,155],"law":[76],"overtake":[78],"depending":[79],"on":[80,150],"lane.":[86],"Beyond":[87],"that,":[88],"few":[90],"take":[92],"advantage":[93],"temporal":[96,128],"information":[97,129],"available":[98],"videos":[101],"captured":[102],"vehicles:":[105],"most":[106,152],"methods":[107],"employ":[108],"single-frame":[110],"approach.":[111],"In":[112],"this":[113],"work,":[114],"building":[115],"upon":[116],"recent":[118,153],"LaneATT":[119],"model,":[120],"we":[121],"propose":[122],"approach":[124],"exploit":[126],"and":[130],"integrate":[131],"into":[135],"model.":[137],"Our":[138],"results":[139],"show":[140],"proposed":[143],"modifications":[144],"improve":[146],"performance":[149,173],"benchmark":[154,181],"2.34":[156],"%,":[157],"establishing":[158],"new":[160],"state-of-the-art.":[161],"Finally,":[162],"extensive":[164],"evaluation":[165],"shows":[166],"it":[168],"enables":[169],"high":[171],"(89.37":[174],"%)":[175],"serves":[177],"as":[178],"future":[180],"field.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
