{"id":"https://openalex.org/W4386608618","doi":"https://doi.org/10.1109/tits.2023.3309948","title":"PGA-Net: Polynomial Global Attention Network With Mean Curvature Loss for Lane Detection","display_name":"PGA-Net: Polynomial Global Attention Network With Mean Curvature Loss for Lane Detection","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386608618","doi":"https://doi.org/10.1109/tits.2023.3309948"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2023.3309948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3309948","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-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/A5101431986","display_name":"Qiankun Li","orcid":"https://orcid.org/0000-0001-5121-1682"},"institutions":[{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099079","display_name":"Institute of Intelligent Machines","ror":"https://ror.org/00w0qep84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210099079"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiankun Li","raw_affiliation_strings":["Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China","Department of Automation, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China","institution_ids":["https://openalex.org/I2802624667","https://openalex.org/I4210099079","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027165581","display_name":"Xianwang Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianwang Yu","raw_affiliation_strings":["Institute of Intelligent Vehicles, School of Automotive Studies, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Vehicles, School of Automotive Studies, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062208207","display_name":"Junxin Chen","orcid":"https://orcid.org/0000-0003-4745-8361"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junxin Chen","raw_affiliation_strings":["School of Software, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039414676","display_name":"Ben\u2010Guo He","orcid":"https://orcid.org/0000-0001-7761-1748"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ben-Guo He","raw_affiliation_strings":["Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391896","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-1717-5785"},"institutions":[{"id":"https://openalex.org/I4388482657","display_name":"Shenzhen MSU-BIT University","ror":"https://ror.org/02q963474","country_code":null,"type":"education","lineage":["https://openalex.org/I4388482657"]},{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Department of Engineering, Shenzhen MSU-BIT University, Shenzhen, China","School of Medical Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Engineering, Shenzhen MSU-BIT University, Shenzhen, China","institution_ids":["https://openalex.org/I4388482657"]},{"raw_affiliation_string":"School of Medical Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046343080","display_name":"Danda B. Rawat","orcid":"https://orcid.org/0000-0003-3638-3464"},"institutions":[{"id":"https://openalex.org/I137853757","display_name":"Howard University","ror":"https://ror.org/05gt1vc06","country_code":"US","type":"education","lineage":["https://openalex.org/I137853757"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Danda B. Rawat","raw_affiliation_strings":["Department of Electrical and Computer Science, Howard University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Science, Howard University, Washington, DC, USA","institution_ids":["https://openalex.org/I137853757"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089407824","display_name":"Zhihan Lyu","orcid":"https://orcid.org/0000-0003-2525-3074"},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Zhihan Lyu","raw_affiliation_strings":["Department of Game Design, Faculty of Arts, Uppsala University, Uppsala, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Game Design, Faculty of Arts, Uppsala University, Uppsala, Sweden","institution_ids":["https://openalex.org/I123387679"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101431986"],"corresponding_institution_ids":["https://openalex.org/I126520041","https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210099079"],"apc_list":null,"apc_paid":null,"fwci":2.4979,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.89174939,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"25","issue":"1","first_page":"417","last_page":"429"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9979000091552734,"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":0.9979000091552734,"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/T10320","display_name":"Neural Networks and Applications","score":0.989300012588501,"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"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9836000204086304,"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/curvature","display_name":"Curvature","score":0.594818115234375},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.5497926473617554},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.521190345287323},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4749365448951721},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4587460160255432},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.44147947430610657},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4316731095314026},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.4113544821739197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36665594577789307},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3523426055908203},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.20837974548339844},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16582554578781128},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.10722696781158447},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09088709950447083}],"concepts":[{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.594818115234375},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.5497926473617554},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.521190345287323},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4749365448951721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4587460160255432},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.44147947430610657},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4316731095314026},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.4113544821739197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36665594577789307},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3523426055908203},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.20837974548339844},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16582554578781128},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.10722696781158447},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09088709950447083},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2023.3309948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3309948","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3710334801","display_name":null,"funder_award_id":"52222810","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6717434564","display_name":null,"funder_award_id":"62171114","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1732557381","https://openalex.org/W2039544046","https://openalex.org/W2080553371","https://openalex.org/W2082747607","https://openalex.org/W2144506857","https://openalex.org/W2146575011","https://openalex.org/W2151362034","https://openalex.org/W2156128637","https://openalex.org/W2159132531","https://openalex.org/W2169886432","https://openalex.org/W2194775991","https://openalex.org/W2222512263","https://openalex.org/W2780740184","https://openalex.org/W2781689253","https://openalex.org/W2895707844","https://openalex.org/W2896129006","https://openalex.org/W2913960518","https://openalex.org/W2946547492","https://openalex.org/W2962858109","https://openalex.org/W2963037989","https://openalex.org/W2963223517","https://openalex.org/W2963856865","https://openalex.org/W2971079005","https://openalex.org/W2998590856","https://openalex.org/W3025407686","https://openalex.org/W3034879391","https://openalex.org/W3034985293","https://openalex.org/W3096609285","https://openalex.org/W3108280663","https://openalex.org/W3109790059","https://openalex.org/W3119586106","https://openalex.org/W3120688202","https://openalex.org/W3135587035","https://openalex.org/W3157173860","https://openalex.org/W3173721678","https://openalex.org/W3175091786","https://openalex.org/W3176566042","https://openalex.org/W3179888767","https://openalex.org/W3203848864","https://openalex.org/W4221143432","https://openalex.org/W4282921501","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2504004674","https://openalex.org/W2498744856","https://openalex.org/W1595229445","https://openalex.org/W4390482104","https://openalex.org/W322408318","https://openalex.org/W149041114","https://openalex.org/W2963177394","https://openalex.org/W1965815883","https://openalex.org/W4313359513","https://openalex.org/W2379877967"],"abstract_inverted_index":{"Lane":[0],"detection":[1,32],"is":[2,50,186],"an":[3,51,125,180],"important":[4],"task":[5],"in":[6,21,173],"the":[7,76,82,92,107,110,115,139],"field":[8],"of":[9,85,109,117,142],"automatic":[10],"driving.":[11],"Since":[12],"lane":[13,31,47,68,93,143],"lines":[14],"usually":[15],"have":[16],"complex":[17,23],"topologies":[18],"and":[19,59,74,87,138,155,157,175],"exist":[20],"various":[22],"scenes":[24],"(e.g.,":[25],"damaged":[26],"lanes,":[27,112],"severe":[28],"occlusion,":[29],"etc.),":[30],"remains":[33],"challenging.":[34],"In":[35,121],"this":[36],"work,":[37],"we":[38,99,123],"propose":[39,100],"a":[40,158],"Polynomial":[41],"Global":[42],"Attention":[43],"Network":[44],"(PGA-Net)":[45],"for":[46,54],"detection,":[48],"which":[49],"end-to-end":[52],"model":[53,67,79,177],"mining":[55],"global":[56],"road":[57],"information":[58,84,131],"predicting":[60],"lanes":[61,86,119],"shape":[62,69],"parameter":[63],"formulas":[64],"simultaneously.":[65],"We":[66],"with":[70],"cubic":[71],"polynomial":[72,96],"function":[73],"use":[75],"transformer-based":[77],"DETR":[78],"to":[80,89,105,129],"introduce":[81],"context":[83],"roads":[88],"better":[90],"regress":[91],"parameters.":[94],"For":[95],"curve":[97,118],"modeling,":[98],"Mean":[101],"Curvature":[102],"Loss":[103],"(MCL)":[104],"constrain":[106],"curvature":[108],"predicted":[111],"thereby":[113],"enhancing":[114],"quality":[116],"prediction.":[120],"addition,":[122],"design":[124],"improved":[126],"supervision":[127],"strategy":[128],"eliminate":[130],"bias":[132],"between":[133],"our":[134],"parametric":[135],"prediction":[136],"methods":[137,141],"labeling":[140],"datasets.":[144],"Our":[145,184],"method":[146],"achieves":[147],"state-of-the-art":[148],"performance":[149],"on":[150,168],"two":[151],"popular":[152],"benchmarks":[153],"(TuSimple":[154],"LLAMAS)":[156],"most":[159],"challenging":[160],"benchmark":[161],"(CULane),":[162],"while":[163],"exhibiting":[164],"accelerated":[165],"speed":[166],"(>140fps":[167],"3090":[169],"GPU,":[170],"28.9%":[171],"improvement":[172],"average)":[174],"lightweight":[176],"size":[178],"(<3M,":[179],"averaged":[181],"83.7%":[182],"reduction).":[183],"code":[185],"available":[187],"at":[188],"<uri":[189],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[190],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/qklee-lz/PGA-Net</uri>":[191],".":[192]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":5}],"updated_date":"2026-03-15T09:29:46.208133","created_date":"2025-10-10T00:00:00"}