{"id":"https://openalex.org/W4408946904","doi":"https://doi.org/10.1142/s0218001425550079","title":"Toward Generalized 3D Lane Representation with Lane Geometry Supervision for Autonomous Driving","display_name":"Toward Generalized 3D Lane Representation with Lane Geometry Supervision for Autonomous Driving","publication_year":2025,"publication_date":"2025-03-28","ids":{"openalex":"https://openalex.org/W4408946904","doi":"https://doi.org/10.1142/s0218001425550079"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001425550079","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425550079","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5101482272","display_name":"Wenbo Ding","orcid":"https://orcid.org/0000-0001-7879-7468"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210091156","display_name":"SAIC-GM (China)","ror":"https://ror.org/00h64t852","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091156"]},{"id":"https://openalex.org/I4210159565","display_name":"SAIC Motor (China)","ror":"https://ror.org/051b9ta18","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159565"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Ding","raw_affiliation_strings":["AI Lab, SAIC Motor, No. 588 Tashan Road, Shanghai 201800, China","Shanghai Center for Mathematical Sciences, Fudan University, No. 220 Handan Road, Shanghai 200433, China"],"raw_orcid":"https://orcid.org/0000-0001-7879-7468","affiliations":[{"raw_affiliation_string":"AI Lab, SAIC Motor, No. 588 Tashan Road, Shanghai 201800, China","institution_ids":["https://openalex.org/I4210091156","https://openalex.org/I4210159565"]},{"raw_affiliation_string":"Shanghai Center for Mathematical Sciences, Fudan University, No. 220 Handan Road, Shanghai 200433, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030103251","display_name":"Wenlian Lu","orcid":"https://orcid.org/0000-0003-1880-6240"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenlian Lu","raw_affiliation_strings":["Key Laboratory of Mathematics for Nonlinear Science, Fudan University, No. 220 Handan Road, Shanghai 200433, China","School of Mathematical Sciences, Fudan University, No. 220 Handan Road, Shanghai 200433, China","Shanghai Center for Mathematical Sciences, Fudan University, No. 220 Handan Road, Shanghai 200433, China","Shanghai Key Laboratory for Contemporary Applied Mathematics, Fudan University, No. 220 Handan Road, Shanghai 200433, China"],"raw_orcid":"https://orcid.org/0000-0003-1880-6240","affiliations":[{"raw_affiliation_string":"Key Laboratory of Mathematics for Nonlinear Science, Fudan University, No. 220 Handan Road, Shanghai 200433, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Mathematical Sciences, Fudan University, No. 220 Handan Road, Shanghai 200433, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Shanghai Center for Mathematical Sciences, Fudan University, No. 220 Handan Road, Shanghai 200433, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Shanghai Key Laboratory for Contemporary Applied Mathematics, Fudan University, No. 220 Handan Road, Shanghai 200433, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04732485,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"39","issue":"06","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9832000136375427,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6506187915802002},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5783356428146362},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5539214611053467},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48844781517982483},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.46738874912261963},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28536731004714966}],"concepts":[{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6506187915802002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5783356428146362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5539214611053467},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48844781517982483},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.46738874912261963},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28536731004714966},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001425550079","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425550079","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2738638456","https://openalex.org/W2913960518","https://openalex.org/W2964199920","https://openalex.org/W2971079005","https://openalex.org/W2989279786","https://openalex.org/W2995724453","https://openalex.org/W3014005442","https://openalex.org/W3035172746","https://openalex.org/W3092761163","https://openalex.org/W3108381027","https://openalex.org/W3119586106","https://openalex.org/W3157173860","https://openalex.org/W3169120894","https://openalex.org/W3173721678","https://openalex.org/W3176566042","https://openalex.org/W3203848864","https://openalex.org/W3207105331","https://openalex.org/W4221143432","https://openalex.org/W4283320849","https://openalex.org/W4312603285","https://openalex.org/W4312925104","https://openalex.org/W4383108420","https://openalex.org/W4383108583","https://openalex.org/W4385825834","https://openalex.org/W4386066269","https://openalex.org/W4386076601"],"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":{"Lane":[0,67],"detection":[1,15],"is":[2],"crucial":[3],"for":[4,127],"autonomous":[5],"driving.":[6],"Recent":[7],"advancements":[8],"have":[9],"expanded":[10],"traditional":[11],"two-dimensional":[12],"(2D)":[13],"lane":[14,21,55,61,76,130,139,146],"to":[16,40,93],"three-dimensional":[17],"(3D)":[18],"by":[19],"predicting":[20],"positions":[22],"in":[23],"3D":[24,35,99,128,138],"space.":[25],"These":[26],"methods":[27],"rely":[28],"on":[29,74,80],"fully":[30,94,114],"supervised":[31,47,95,115],"learning,":[32],"requiring":[33],"high-quality":[34],"labels,":[36],"which":[37,71],"are":[38],"difficult":[39],"obtain.":[41],"This":[42],"challenge":[43],"motivates":[44],"a":[45,105,123],"weakly":[46],"approach":[48],"leveraging":[49],"abundant":[50,142],"and":[51,65,83,141],"easily":[52],"scalable":[53],"2D":[54,75,145],"annotations.":[56],"Specifically,":[57],"we":[58,118],"systematically":[59],"analyze":[60],"geometric":[62],"structure":[63],"priors":[64],"introduce":[66],"Geometry":[68],"Supervision":[69],"(LGS),":[70],"relies":[72],"solely":[73],"labels.":[77,100,147],"Extensive":[78],"experiments":[79],"both":[81,134],"synthetic":[82],"real-world":[84],"datasets":[85],"demonstrate":[86],"that":[87,120],"our":[88],"method":[89],"achieves":[90],"performance":[91,111],"comparable":[92],"approaches":[96],"using":[97],"direct":[98],"Moreover,":[101],"incorporating":[102],"LGS":[103,121],"as":[104],"regularization":[106],"term":[107],"further":[108],"enhances":[109],"the":[110],"of":[112],"existing":[113],"methods.":[116],"Finally,":[117],"show":[119],"enables":[122],"label-efficient":[124],"training":[125],"methodology":[126],"monocular":[129],"detection,":[131],"effectively":[132],"utilizing":[133],"scarce":[135],"yet":[136],"complete":[137],"labels":[140],"but":[143],"incomplete":[144]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-03-29T00:00:00"}