{"id":"https://openalex.org/W4226144994","doi":"https://doi.org/10.1109/iv51971.2022.9827450","title":"Sim-to-Real Domain Adaptation for Lane Detection and Classification in Autonomous Driving","display_name":"Sim-to-Real Domain Adaptation for Lane Detection and Classification in Autonomous Driving","publication_year":2022,"publication_date":"2022-06-05","ids":{"openalex":"https://openalex.org/W4226144994","doi":"https://doi.org/10.1109/iv51971.2022.9827450"},"language":"en","primary_location":{"id":"doi:10.1109/iv51971.2022.9827450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv51971.2022.9827450","pdf_url":null,"source":{"id":"https://openalex.org/S4363605370","display_name":"2022 IEEE Intelligent Vehicles Symposium (IV)","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 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/A5079750612","display_name":"Chuqing Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Chuqing Hu","raw_affiliation_strings":["University of Waterloo,Department of Mechanical and Mechatronics engineering,ON,Canada","WATonomous (University of Waterloo autonomous vehicle team in the SAE AutoDrive Challenge","Department of Mechanical and Mechatronics engineering, University of Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo,Department of Mechanical and Mechatronics engineering,ON,Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"WATonomous (University of Waterloo autonomous vehicle team in the SAE AutoDrive Challenge","institution_ids":[]},{"raw_affiliation_string":"Department of Mechanical and Mechatronics engineering, University of Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006169783","display_name":"Sinclair Hudson","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sinclair Hudson","raw_affiliation_strings":["University of Waterloo,Department of Computer Science,ON,Canada","WATonomous (University of Waterloo autonomous vehicle team in the SAE AutoDrive Challenge","Department of Computer Science, University of Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo,Department of Computer Science,ON,Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"WATonomous (University of Waterloo autonomous vehicle team in the SAE AutoDrive Challenge","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science, University of Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016884395","display_name":"Martin Ethier","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Martin Ethier","raw_affiliation_strings":["University of Waterloo,Department of Mechanical and Mechatronics engineering,ON,Canada","Department of Mechanical and Mechatronics engineering, University of Waterloo, ON, Canada","WATonomous (University of Waterloo autonomous vehicle team in the SAE AutoDrive Challenge"],"affiliations":[{"raw_affiliation_string":"University of Waterloo,Department of Mechanical and Mechatronics engineering,ON,Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Department of Mechanical and Mechatronics engineering, University of Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"WATonomous (University of Waterloo autonomous vehicle team in the SAE AutoDrive Challenge","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073454123","display_name":"Mohammad Al-Sharman","orcid":"https://orcid.org/0000-0003-2187-4201"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohammad Al-Sharman","raw_affiliation_strings":["University of Waterloo,Department of Electrical and Computer Engineering,ON,Canada","WATonomous (University of Waterloo autonomous vehicle team in the SAE AutoDrive Challenge","Department of Electrical and Computer Engineering, University of Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo,Department of Electrical and Computer Engineering,ON,Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"WATonomous (University of Waterloo autonomous vehicle team in the SAE AutoDrive Challenge","institution_ids":[]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091689542","display_name":"Derek Rayside","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Derek Rayside","raw_affiliation_strings":["University of Waterloo,Department of Electrical and Computer Engineering,ON,Canada","WATonomous (University of Waterloo autonomous vehicle team in the SAE AutoDrive Challenge","Department of Electrical and Computer Engineering, University of Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo,Department of Electrical and Computer Engineering,ON,Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"WATonomous (University of Waterloo autonomous vehicle team in the SAE AutoDrive Challenge","institution_ids":[]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112658778","display_name":"William Melek","orcid":"https://orcid.org/0009-0002-5616-0268"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"William Melek","raw_affiliation_strings":["University of Waterloo,Department of Mechanical and Mechatronics engineering,ON,Canada","Department of Mechanical and Mechatronics engineering, University of Waterloo, ON, Canada","WATonomous (University of Waterloo autonomous vehicle team in the SAE AutoDrive Challenge"],"affiliations":[{"raw_affiliation_string":"University of Waterloo,Department of Mechanical and Mechatronics engineering,ON,Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Department of Mechanical and Mechatronics engineering, University of Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"WATonomous (University of Waterloo autonomous vehicle team in the SAE AutoDrive Challenge","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5079750612"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":6.2751,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.9831114,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"457","last_page":"463"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9991999864578247,"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":0.9991999864578247,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9950000047683716,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9902999997138977,"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":0.8341057300567627},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8276636600494385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6352361440658569},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.618750274181366},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.596528172492981},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.557960569858551},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5202973484992981},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5013580322265625},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5010941028594971},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.4695991277694702},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4614627957344055},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.44110631942749023},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.44100287556648254},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.43151190876960754},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42405885457992554},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.41563570499420166},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38966017961502075},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.1283542811870575}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8341057300567627},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8276636600494385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6352361440658569},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.618750274181366},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.596528172492981},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.557960569858551},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5202973484992981},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5013580322265625},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5010941028594971},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.4695991277694702},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4614627957344055},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.44110631942749023},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.44100287556648254},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.43151190876960754},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42405885457992554},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.41563570499420166},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38966017961502075},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.1283542811870575},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv51971.2022.9827450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv51971.2022.9827450","pdf_url":null,"source":{"id":"https://openalex.org/S4363605370","display_name":"2022 IEEE Intelligent Vehicles Symposium (IV)","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 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1731081199","https://openalex.org/W2159132531","https://openalex.org/W2478454054","https://openalex.org/W2593414223","https://openalex.org/W2593800221","https://openalex.org/W2780740184","https://openalex.org/W2795155917","https://openalex.org/W2946444988","https://openalex.org/W2962793481","https://openalex.org/W2962808524","https://openalex.org/W2963709863","https://openalex.org/W2963890275","https://openalex.org/W2964126011","https://openalex.org/W2964288524","https://openalex.org/W2968095971","https://openalex.org/W2970110235","https://openalex.org/W2982120826","https://openalex.org/W2989279786","https://openalex.org/W2998083796","https://openalex.org/W3023336500","https://openalex.org/W3036567070","https://openalex.org/W3094277917","https://openalex.org/W3108146245","https://openalex.org/W3109790059","https://openalex.org/W3117590843","https://openalex.org/W3159890710","https://openalex.org/W3164884839","https://openalex.org/W3185284183","https://openalex.org/W3187869944","https://openalex.org/W3203848864","https://openalex.org/W3206394619","https://openalex.org/W4240805545","https://openalex.org/W4295719664","https://openalex.org/W6631190155","https://openalex.org/W6637618735","https://openalex.org/W6745935785","https://openalex.org/W6746282794","https://openalex.org/W6750109254","https://openalex.org/W6757160954","https://openalex.org/W6762859770","https://openalex.org/W6782942615"],"related_works":["https://openalex.org/W2740361506","https://openalex.org/W3035557009","https://openalex.org/W2955172689","https://openalex.org/W1757117718","https://openalex.org/W2341113105","https://openalex.org/W3204418343","https://openalex.org/W2889166412","https://openalex.org/W3132602785","https://openalex.org/W3046182208","https://openalex.org/W2186589590"],"abstract_inverted_index":{"While":[0],"supervised":[1],"detection":[2,51,154],"and":[3,32,46,52,77,106,119,133,155,158,189],"classification":[4,53,156,176],"frameworks":[5,83,184],"in":[6,55,121,151,174],"autonomous":[7,56],"driving":[8],"require":[9],"large":[10],"labelled":[11],"datasets":[12],"to":[13,64,114],"converge,":[14],"Unsupervised":[15],"Domain":[16],"Adaptation":[17],"(UDA)":[18],"approaches,":[19],"facilitated":[20],"by":[21],"synthetic":[22,67,135],"data":[23],"generated":[24],"from":[25],"photoreal":[26],"simulated":[27],"environments,":[28],"are":[29,112,128,185],"considered":[30],"low-cost":[31],"less":[33],"time-consuming":[34],"solutions.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39],"propose":[40],"UDA":[41,82,183],"schemes":[42,150],"using":[43,130],"adversarial":[44,104],"discriminative":[45],"generative":[47,105],"methods":[48,143],"for":[49],"lane":[50,117],"applications":[54],"driving.":[57],"We":[58],"also":[59],"present":[60],"Simulanes":[61],"dataset":[62,68,87,170,191],"generator":[63,192],"create":[65],"a":[66],"that":[69,140,164],"is":[70,98,193],"naturalistic":[71],"utilizing":[72],"CARLA\u2019s":[73],"vast":[74],"traffic":[75],"scenarios":[76],"weather":[78],"conditions.":[79],"The":[80,125,137,160],"proposed":[81,126,142,180],"take":[84],"the":[85,91,95,99,109,116,122,141,165,168,175,179],"synthesized":[86],"with":[88],"labels":[89],"as":[90],"source":[92],"domain,":[93],"whereas":[94],"target":[96,123],"domain":[97],"unlabelled":[100],"real-world":[101,132],"data.":[102],"Using":[103],"feature":[107],"discriminators,":[108],"learnt":[110],"models":[111],"tuned":[113],"predict":[115],"location":[118],"class":[120],"domain.":[124],"techniques":[127],"evaluated":[129],"both":[131],"our":[134,190],"datasets.":[136],"results":[138],"manifest":[139],"have":[144],"shown":[145],"superiority":[146],"over":[147],"other":[148],"baseline":[149],"terms":[152],"of":[153,167,178],"accuracy":[157],"consistency.":[159],"ablation":[161],"study":[162],"reveals":[163],"size":[166],"simulation":[169],"plays":[171],"important":[172],"roles":[173],"performance":[177],"methods.":[181],"Our":[182],"available":[186],"at":[187,195],"github.com/anita-hu/sim2real-lane-detection":[188],"released":[194],"github.com/anita-hu/simulanes.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":7}],"updated_date":"2026-02-25T08:12:03.925757","created_date":"2025-10-10T00:00:00"}
