{"id":"https://openalex.org/W4390873409","doi":"https://doi.org/10.1109/iccv51070.2023.00768","title":"Sparse Point Guided 3D Lane Detection","display_name":"Sparse Point Guided 3D Lane Detection","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4390873409","doi":"https://doi.org/10.1109/iccv51070.2023.00768"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51070.2023.00768","doi":"https://doi.org/10.1109/iccv51070.2023.00768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51070.2023.00768","pdf_url":null,"source":{"id":"https://openalex.org/S4363607764","display_name":"IEEE/CVF International Conference on Computer Vision (ICCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2023 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5048303401","display_name":"Chengtang Yao","orcid":"https://orcid.org/0000-0001-5987-8510","observed_orcids":["https://orcid.org/0000-0001-5987-8510"]},"institutions":[{"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":"Chengtang Yao","raw_affiliation_strings":["Beijing Institute of Technology,Beijing Key Laboratory of Intelligent Information Technology,School of Computer Science & Technology,China","Autonomous Driving Algorithm, DeepRoute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,Beijing Key Laboratory of Intelligent Information Technology,School of Computer Science & Technology,China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"Autonomous Driving Algorithm, DeepRoute","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040192942","display_name":"Lidong Yu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lidong Yu","raw_affiliation_strings":["DeepRoute,Autonomous Driving Algorithm","Autonomous Driving Algorithm, DeepRoute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DeepRoute,Autonomous Driving Algorithm","institution_ids":[]},{"raw_affiliation_string":"Autonomous Driving Algorithm, DeepRoute","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071656520","display_name":"Yuwei Wu","orcid":"https://orcid.org/0000-0001-6300-6336","observed_orcids":["https://orcid.org/0000-0001-6300-6336"]},"institutions":[{"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":"Yuwei Wu","raw_affiliation_strings":["Beijing Institute of Technology,Beijing Key Laboratory of Intelligent Information Technology,School of Computer Science & Technology,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,Beijing Key Laboratory of Intelligent Information Technology,School of Computer Science & Technology,China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100731042","display_name":"Yunde Jia","orcid":"https://orcid.org/0000-0003-1900-8945","observed_orcids":["https://orcid.org/0000-0003-1900-8945"]},"institutions":[{"id":"https://openalex.org/I4388482657","display_name":"Shenzhen MSU-BIT University","ror":"https://ror.org/02q963474","country_code":"CN","type":"education","lineage":["https://openalex.org/I4388482657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunde Jia","raw_affiliation_strings":["Shenzhen MSU-BIT University,Guangdong Laboratory of Machine Perception and Intelligent Computing,China","Guangdong Laboratory of Machine Perception and Intelligent Computing, Shenzhen MSU-BIT University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen MSU-BIT University,Guangdong Laboratory of Machine Perception and Intelligent Computing,China","institution_ids":["https://openalex.org/I4388482657"]},{"raw_affiliation_string":"Guangdong Laboratory of Machine Perception and Intelligent Computing, Shenzhen MSU-BIT University, China","institution_ids":["https://openalex.org/I4388482657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8078,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.9482129,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"8329","last_page":"8338"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9193999767303467,"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":0.9193999767303467,"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":0.07509999722242355,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.0015999999595806003,"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/3d-lane-detection","display_name":"3D lane detection","score":1.0},{"id":"https://openalex.org/keywords/bird-s-eye-view","display_name":"bird's-eye view","score":0.6880000233650208},{"id":"https://openalex.org/keywords/coarse-to-fine-refinement","display_name":"coarse-to-fine refinement","score":0.9480000138282776},{"id":"https://openalex.org/keywords/local-feature-extraction","display_name":"local feature extraction","score":0.8199999928474426},{"id":"https://openalex.org/keywords/autonomous-driving-perception","display_name":"autonomous driving perception","score":0.6230000257492065}],"concepts":[{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6807219386100769},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6515647172927856},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.6191306114196777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5220068097114563},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48854002356529236},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.46974924206733704},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43949103355407715},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.42293912172317505},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3662521243095398},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3257153034210205},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22151100635528564},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10184091329574585},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccv51070.2023.00768","doi":"https://doi.org/10.1109/iccv51070.2023.00768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51070.2023.00768","pdf_url":null,"source":{"id":"https://openalex.org/S4363607764","display_name":"IEEE/CVF International Conference on Computer Vision (ICCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2023 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1949285675","https://openalex.org/W1950112384","https://openalex.org/W1978491093","https://openalex.org/W2757356831","https://openalex.org/W2780740184","https://openalex.org/W2904383797","https://openalex.org/W2909750748","https://openalex.org/W2913960518","https://openalex.org/W2914238185","https://openalex.org/W2946948417","https://openalex.org/W2962849139","https://openalex.org/W2962957359","https://openalex.org/W2989279786","https://openalex.org/W2995079705","https://openalex.org/W2997814983","https://openalex.org/W3014005442","https://openalex.org/W3017943203","https://openalex.org/W3035172746","https://openalex.org/W3035291735","https://openalex.org/W3105030360","https://openalex.org/W3108280663","https://openalex.org/W3108884723","https://openalex.org/W3109790059","https://openalex.org/W3119586106","https://openalex.org/W3174654838","https://openalex.org/W3175091786","https://openalex.org/W3175175721","https://openalex.org/W3176222228","https://openalex.org/W3185123971","https://openalex.org/W3194733993","https://openalex.org/W3203848864","https://openalex.org/W3215769467","https://openalex.org/W4221143432","https://openalex.org/W4226493478","https://openalex.org/W4283320849","https://openalex.org/W4312603285","https://openalex.org/W4312807693","https://openalex.org/W4312925104","https://openalex.org/W4313151476","https://openalex.org/W4383108583","https://openalex.org/W4386076601","https://openalex.org/W4390872833","https://openalex.org/W6839364997"],"related_works":["https://openalex.org/W4404810060","https://openalex.org/W4386066269","https://openalex.org/W4320813849","https://openalex.org/W7120170636","https://openalex.org/W4413157487","https://openalex.org/W4386076601","https://openalex.org/W4319300601","https://openalex.org/W4375869016","https://openalex.org/W4416748640","https://openalex.org/W7140928211"],"abstract_inverted_index":{"3D":[0,22,24,70,78,156],"lane":[1,18,71,89,99],"detection":[2,90],"usually":[3],"builds":[4],"a":[5,28,56,67,84,103,116,173],"dense":[6,33,104],"correspondence":[7,37,58,107],"between":[8,108],"the":[9,13,21,32,40,51,109,142,159,181,188],"front-view":[10,144],"space":[11,15,114,161],"and":[12,49,91,112,178,191,204],"BEV":[14,113,160],"to":[16,39,77,120,137,166],"estimate":[17],"points":[19,75,133,154,186,193],"in":[20,83,125,158],"space.":[23],"lanes":[25,136,157],"only":[26],"occupy":[27],"small":[29],"ratio":[30],"of":[31,54],"correspondence,":[34],"while":[35,198],"most":[36],"belongs":[38],"redundant":[41],"background.":[42],"This":[43],"sparsity":[44],"phenomenon":[45],"bottlenecks":[46],"valuable":[47],"computation":[48,52],"raises":[50],"cost":[53,203],"building":[55],"high-resolution":[57,143,148],"for":[59],"accurate":[60],"results.":[61],"In":[62,97],"this":[63],"paper,":[64],"we":[65,101,130],"propose":[66],"sparse":[68,94,127,132,153,170],"point-guided":[69],"detection,":[72,100],"focusing":[73],"on":[74,187,194],"related":[76],"lanes.":[79,123],"Our":[80],"method":[81],"runs":[82],"coarse-to-fine":[85],"manner,":[86],"including":[87],"coarse-level":[88,98],"iterative":[92],"fine-level":[93,126],"point":[95,128,171],"refinements.":[96],"build":[102],"but":[105],"efficient":[106],"front":[110],"view":[111],"at":[115],"very":[117],"low":[118,164],"resolution":[119,165],"compute":[121],"coarse":[122,135],"Then":[124],"refinement,":[129],"sample":[131],"around":[134],"extract":[138],"local":[139,149],"features":[140],"from":[141,163],"feature":[145],"map.":[146],"The":[147,169],"information":[150,176],"brought":[151],"by":[152,184],"refines":[155],"hierarchically":[162],"high":[167],"resolution.":[168],"guides":[172],"more":[174],"effective":[175],"flow":[177],"greatly":[179],"promotes":[180],"SOTA":[182],"result":[183],"3":[185],"overall":[189],"F1-score":[190],"6":[192],"several":[195],"hard":[196],"situations":[197],"reducing":[199],"almost":[200],"half":[201],"memory":[202],"speeding":[205],"up":[206],"2":[207],"times.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2024-01-16T00:00:00"}