{"id":"https://openalex.org/W4413917824","doi":"https://doi.org/10.1109/icra55743.2025.11128731","title":"3D Lane Detection Based on Projection-Consistent Reference Points and Intra- &amp; Inter-lane Context","display_name":"3D Lane Detection Based on Projection-Consistent Reference Points and Intra- &amp; Inter-lane Context","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4413917824","doi":"https://doi.org/10.1109/icra55743.2025.11128731"},"language":"en","primary_location":{"id":"doi:10.1109/icra55743.2025.11128731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11128731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Automation (ICRA)","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":null,"display_name":"Yiqiu Bing","orcid":null},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqiu Bing","raw_affiliation_strings":["Information Engineering College, Capital Normal University,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Engineering College, Capital Normal University,Beijing,China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111361086","display_name":"H. B. Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huilin Niu","raw_affiliation_strings":["Information Engineering College, Capital Normal University,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Engineering College, Capital Normal University,Beijing,China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430255","display_name":"Hong Zhang","orcid":"https://orcid.org/0000-0002-0088-8148"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zhang","raw_affiliation_strings":["SenseTime Group Inc,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SenseTime Group Inc,Beijing,China","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022061792","display_name":"Na Jiang","orcid":"https://orcid.org/0000-0003-2239-1121"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Jiang","raw_affiliation_strings":["Information Engineering College, Capital Normal University,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Engineering College, Capital Normal University,Beijing,China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102905671","display_name":"Zhong Zhou","orcid":"https://orcid.org/0000-0002-5825-7517"},"institutions":[{"id":"https://openalex.org/I4392738276","display_name":"State Key Laboratory of Virtual Reality Technology and Systems","ror":"https://ror.org/0009eea46","country_code":null,"type":"facility","lineage":["https://openalex.org/I4392738276","https://openalex.org/I82880672"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Zhou","raw_affiliation_strings":["Beihang University,State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering,Beijing,China,100191"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672","https://openalex.org/I4392738276"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024575685","display_name":"Qichuan Geng","orcid":"https://orcid.org/0000-0002-0046-5794"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qichuan Geng","raw_affiliation_strings":["Information Engineering College, Capital Normal University,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Engineering College, Capital Normal University,Beijing,China","institution_ids":["https://openalex.org/I96852419"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4985,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67596328,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"7298","last_page":"7304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9933000206947327,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9830999970436096,"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/context","display_name":"Context (archaeology)","score":0.7348262667655945},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7038013935089111},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6162867546081543},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4414823055267334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38597095012664795},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23077937960624695},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09466126561164856}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7348262667655945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7038013935089111},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6162867546081543},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4414823055267334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38597095012664795},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23077937960624695},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09466126561164856},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra55743.2025.11128731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11128731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1343645032","display_name":null,"funder_award_id":"62206184","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":32,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2780740184","https://openalex.org/W2913960518","https://openalex.org/W2964332990","https://openalex.org/W2981441441","https://openalex.org/W2989279786","https://openalex.org/W3014005442","https://openalex.org/W3034985293","https://openalex.org/W3096609285","https://openalex.org/W3109790059","https://openalex.org/W3119586106","https://openalex.org/W3157173860","https://openalex.org/W3176566042","https://openalex.org/W4221143432","https://openalex.org/W4225793049","https://openalex.org/W4282921501","https://openalex.org/W4312312588","https://openalex.org/W4312603285","https://openalex.org/W4312807693","https://openalex.org/W4383108583","https://openalex.org/W4386066269","https://openalex.org/W4386076601","https://openalex.org/W4390871774","https://openalex.org/W4390872779","https://openalex.org/W4390872833","https://openalex.org/W4390874598","https://openalex.org/W4393156413","https://openalex.org/W4402727818","https://openalex.org/W4403181952","https://openalex.org/W4404002903","https://openalex.org/W4409985296"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"3D":[0,11,30,77,104,136],"lane":[1,6,31,81,90,133],"detection":[2],"aims":[3],"to":[4,28,47,60,75,80,87,100,123,130],"identify":[5],"categories":[7],"and":[8,17,54,63,157,162,178],"trends":[9],"in":[10,20,113],"space,":[12],"which":[13,33,83],"is":[14,58,121],"a":[15,37,95,117,145],"vital":[16],"challenging":[18],"task":[19],"autonomous":[21],"driving.":[22],"Existing":[23],"methods":[24,177],"introduce":[25],"various":[26],"priors":[27,78],"guide":[29],"prediction,":[32],"generally":[34],"consist":[35],"of":[36,39,127,154],"series":[38],"reference":[40,52,97,105],"points":[41,53,106],"for":[42,66],"context":[43,65],"aggregation.":[44],"However,":[45],"due":[46],"the":[48,55,89,102,110,125,128,132,152,168,180],"misalignment":[49],"between":[50],"these":[51],"lanes,":[56],"it":[57],"difficult":[59],"obtain":[61],"complete":[62],"discriminative":[64],"complex":[67],"instances.":[68],"In":[69,115],"this":[70],"paper,":[71],"we":[72,93,143],"are":[73],"devoted":[74],"introducing":[76],"adaptive":[79],"appearances,":[82],"serve":[84],"as":[85],"references":[86],"aggregate":[88],"context.":[91,164],"Specifically,":[92],"propose":[94,144],"projection-consistent":[96],"generation":[98],"strategy":[99,120],"keep":[101],"projected":[103],"geometrically":[107],"consistent":[108],"with":[109],"corresponding":[111],"lanes":[112],"images.":[114],"addition,":[116],"segmentation-lifting":[118],"denoising":[119],"designed":[122],"improve":[124],"ability":[126],"model":[129],"map":[131],"segmentation":[134],"into":[135],"space.":[137],"To":[138],"leverage":[139],"more":[140],"lane-related":[141],"information,":[142],"decoupled":[146],"lane-context":[147],"aggregation":[148],"module":[149],"by":[150],"considering":[151],"perspectives":[153],"individual":[155],"geometries":[156],"integrated":[158],"layout,":[159],"namely":[160],"intra-lane":[161],"inter-lane":[163],"Extensive":[165],"experiments":[166],"on":[167],"OpenLane":[169],"dataset":[170],"show":[171],"that":[172],"our":[173],"approach":[174],"outperforms":[175],"previous":[176],"achieves":[179],"state-of-the-art":[181],"performance.":[182],"The":[183],"code":[184],"will":[185],"be":[186],"made":[187],"publicly":[188],"available.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
