{"id":"https://openalex.org/W4309922936","doi":"https://doi.org/10.1007/s40747-022-00909-0","title":"ST-MAE: robust lane detection in continuous multi-frame driving scenes based on a deep hybrid network","display_name":"ST-MAE: robust lane detection in continuous multi-frame driving scenes based on a deep hybrid network","publication_year":2022,"publication_date":"2022-11-24","ids":{"openalex":"https://openalex.org/W4309922936","doi":"https://doi.org/10.1007/s40747-022-00909-0"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-022-00909-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-022-00909-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-022-00909-0.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-022-00909-0.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021053488","display_name":"Rongyun Zhang","orcid":"https://orcid.org/0000-0003-3030-2125"},"institutions":[{"id":"https://openalex.org/I70908550","display_name":"Anhui Polytechnic University","ror":"https://ror.org/041sj0284","country_code":"CN","type":"education","lineage":["https://openalex.org/I70908550"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rongyun Zhang","raw_affiliation_strings":["The School of Mechanical and Automotive Engineering, Anhui Polytechnic University, Beijing Middle Road, Wuhu, 241000, China"],"affiliations":[{"raw_affiliation_string":"The School of Mechanical and Automotive Engineering, Anhui Polytechnic University, Beijing Middle Road, Wuhu, 241000, China","institution_ids":["https://openalex.org/I70908550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102938222","display_name":"Yufeng Du","orcid":"https://orcid.org/0000-0002-1470-3183"},"institutions":[{"id":"https://openalex.org/I70908550","display_name":"Anhui Polytechnic University","ror":"https://ror.org/041sj0284","country_code":"CN","type":"education","lineage":["https://openalex.org/I70908550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufeng Du","raw_affiliation_strings":["The School of Mechanical and Automotive Engineering, Anhui Polytechnic University, Beijing Middle Road, Wuhu, 241000, China"],"affiliations":[{"raw_affiliation_string":"The School of Mechanical and Automotive Engineering, Anhui Polytechnic University, Beijing Middle Road, Wuhu, 241000, China","institution_ids":["https://openalex.org/I70908550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046985719","display_name":"Peicheng Shi","orcid":"https://orcid.org/0000-0003-1533-8154"},"institutions":[{"id":"https://openalex.org/I70908550","display_name":"Anhui Polytechnic University","ror":"https://ror.org/041sj0284","country_code":"CN","type":"education","lineage":["https://openalex.org/I70908550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peicheng Shi","raw_affiliation_strings":["Automotive New Technology Anhui Engineering and Technology Research Center, Anhui Polytechnic University, Beijing Middle Road, Wuhu, 241000, China"],"affiliations":[{"raw_affiliation_string":"Automotive New Technology Anhui Engineering and Technology Research Center, Anhui Polytechnic University, Beijing Middle Road, Wuhu, 241000, China","institution_ids":["https://openalex.org/I70908550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100570062","display_name":"Lifeng Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifeng Zhao","raw_affiliation_strings":["The School of Automotive and Traffic Engineering, Hefei University of Technology, No.193 Tunxi Road, Hefei, 230009, China"],"affiliations":[{"raw_affiliation_string":"The School of Automotive and Traffic Engineering, Hefei University of Technology, No.193 Tunxi Road, Hefei, 230009, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101553467","display_name":"Yaming Liu","orcid":"https://orcid.org/0000-0002-3982-001X"},"institutions":[{"id":"https://openalex.org/I70908550","display_name":"Anhui Polytechnic University","ror":"https://ror.org/041sj0284","country_code":"CN","type":"education","lineage":["https://openalex.org/I70908550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaming Liu","raw_affiliation_strings":["The School of Mechanical and Automotive Engineering, Anhui Polytechnic University, Beijing Middle Road, Wuhu, 241000, China"],"affiliations":[{"raw_affiliation_string":"The School of Mechanical and Automotive Engineering, Anhui Polytechnic University, Beijing Middle Road, Wuhu, 241000, China","institution_ids":["https://openalex.org/I70908550"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100327745","display_name":"Haoran Li","orcid":"https://orcid.org/0000-0003-2559-9585"},"institutions":[{"id":"https://openalex.org/I70908550","display_name":"Anhui Polytechnic University","ror":"https://ror.org/041sj0284","country_code":"CN","type":"education","lineage":["https://openalex.org/I70908550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoran Li","raw_affiliation_strings":["The School of Mechanical and Automotive Engineering, Anhui Polytechnic University, Beijing Middle Road, Wuhu, 241000, China"],"affiliations":[{"raw_affiliation_string":"The School of Mechanical and Automotive Engineering, Anhui Polytechnic University, Beijing Middle Road, Wuhu, 241000, China","institution_ids":["https://openalex.org/I70908550"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5021053488"],"corresponding_institution_ids":["https://openalex.org/I70908550"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.3135,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.54598498,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"9","issue":"5","first_page":"4837","last_page":"4855"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9970999956130981,"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":0.9656000137329102,"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":0.7895926237106323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7840428352355957},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6395419836044312},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6384212970733643},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.47143831849098206},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4395878314971924},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3720077872276306},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10477900505065918},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.06307432055473328}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7895926237106323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7840428352355957},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6395419836044312},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6384212970733643},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.47143831849098206},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4395878314971924},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3720077872276306},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10477900505065918},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.06307432055473328},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-022-00909-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-022-00909-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-022-00909-0.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2d94c6a5b779466e849e76c01336eb0e","is_oa":true,"landing_page_url":"https://doaj.org/article/2d94c6a5b779466e849e76c01336eb0e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 9, Iss 5, Pp 4837-4855 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-022-00909-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-022-00909-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-022-00909-0.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2560648409","display_name":null,"funder_award_id":"and 51","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6197071400","display_name":null,"funder_award_id":"51605003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7099223687","display_name":null,"funder_award_id":"51575001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8193425100","display_name":null,"funder_award_id":"1575001","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"},{"id":"https://openalex.org/F4320328637","display_name":"Anhui Polytechnic University","ror":"https://ror.org/041sj0284"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4309922936.pdf","grobid_xml":"https://content.openalex.org/works/W4309922936.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W2006576296","https://openalex.org/W2038270407","https://openalex.org/W2082747607","https://openalex.org/W2108598243","https://openalex.org/W2117594136","https://openalex.org/W2118545852","https://openalex.org/W2131076267","https://openalex.org/W2157331557","https://openalex.org/W2194775991","https://openalex.org/W2277132981","https://openalex.org/W2529429228","https://openalex.org/W2808357662","https://openalex.org/W2897239658","https://openalex.org/W2913723144","https://openalex.org/W2963856865","https://openalex.org/W2963881378","https://openalex.org/W2964199920","https://openalex.org/W2981441441","https://openalex.org/W2984481065","https://openalex.org/W2989279786","https://openalex.org/W2995724453","https://openalex.org/W3034985293","https://openalex.org/W3096831136","https://openalex.org/W3109790059","https://openalex.org/W3118432192","https://openalex.org/W3118476129","https://openalex.org/W3119160127","https://openalex.org/W3119586106","https://openalex.org/W3125832420","https://openalex.org/W3138516171","https://openalex.org/W3169865585","https://openalex.org/W3172752666","https://openalex.org/W3172798612","https://openalex.org/W3176027594","https://openalex.org/W3176566042","https://openalex.org/W3179888767","https://openalex.org/W3180134609","https://openalex.org/W3192684372","https://openalex.org/W4313156423","https://openalex.org/W6600339963"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2142795561","https://openalex.org/W4205302943","https://openalex.org/W2561132942","https://openalex.org/W3155418658","https://openalex.org/W4243199227","https://openalex.org/W2379948177","https://openalex.org/W2119949815"],"abstract_inverted_index":{"Abstract":[0],"Lane":[1],"detection":[2,19,29,52,137],"is":[3,54,62,76,97,180,185,190,198,203,208,213,235,240,245,253,258,263,268],"one":[4],"of":[5,72,82,93,124],"the":[6,57,65,69,89,94,106,113,121,128,136,147,151,168,177,182,188,195,200,206,222,232,237,243,250,255,261],"key":[7],"techniques":[8],"to":[9,134],"realize":[10],"advanced":[11],"driving":[12,95],"assistance":[13],"and":[14,41,86,104,109,132,187,205,242,260],"automatic":[15],"driving.":[16],"However,":[17],"lane":[18,39,51,155],"networks":[20],"based":[21,166,220],"on":[22,141,167,221],"deep":[23],"learning":[24],"have":[25],"significant":[26],"shortcomings.":[27],"The":[28,171,210,225,265],"results":[30,172,226],"are":[31,36,116,130,163,217],"often":[32],"unsatisfactory":[33],"when":[34],"there":[35],"shadows,":[37],"degraded":[38],"markings,":[40],"vehicle":[42],"occlusion":[43],"lanes.":[44],"Therefore,":[45],"a":[46],"continuous":[47,58],"multi-frame":[48,92],"image":[49,60,75],"sequence":[50,61,115],"network":[53],"proposed.":[55],"Specifically,":[56],"six-frame":[59],"input":[63,87],"into":[64,88],"network,":[66],"in":[67,112,154,158],"which":[68],"scene":[70,96],"information":[71],"each":[73],"frame":[74],"extracted":[77],"by":[78,101],"an":[79],"encoder":[80],"composed":[81,123],"Swin":[83,125],"Transformer":[84,126],"blocks":[85],"PredRNN.":[90],"Continuous":[91],"modeled":[98],"as":[99],"time-series":[100],"ST-LSTM":[102],"blocks,":[103,127],"then,":[105],"shape":[107],"changes":[108],"motion":[110],"trajectory":[111],"spatiotemporal":[114],"effectively":[117],"modeled.":[118],"Finally,":[119],"through":[120],"decoder":[122],"features":[129],"obtained":[131],"reconstructed":[133],"complete":[135],"task.":[138],"Extensive":[139],"experiments":[140],"two":[142],"large-scale":[143],"datasets":[144],"demonstrate":[145],"that":[146],"proposed":[148],"method":[149],"outperforms":[150],"competing":[152],"methods":[153],"detection,":[156],"especially":[157],"handling":[159],"difficult":[160],"situations.":[161],"Experiments":[162,216],"carried":[164,218],"out":[165,219],"TuSimple":[169],"dataset.":[170,224],"show:":[173],"for":[174,229],"easy":[175,230],"scenes,":[176,194,231,249],"validation":[178,196,233,251],"accuracy":[179,184,197,202,234,239,252,257],"97.46%,":[181],"test":[183,201,238,256],"97.37%,":[186],"precision":[189,207,244,262],"0.865.":[191],"For":[192,247],"complex":[193,248],"97.38%,":[199],"97.29%,":[204],"0.859.":[209],"running":[211,266],"time":[212,267],"4.4":[214],"ms.":[215,270],"CULane":[223],"show":[227],"that,":[228],"97.03%,":[236],"96.84%,":[241],"0.837.":[246],"96.18%,":[254],"95.92%,":[259],"0.829.":[264],"6.5":[269]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}