{"id":"https://openalex.org/W4410226578","doi":"https://doi.org/10.1109/tits.2025.3565272","title":"Freq-3DLane: 3D Lane Detection From Monocular Images via Frequency-Aware Feature Fusion","display_name":"Freq-3DLane: 3D Lane Detection From Monocular Images via Frequency-Aware Feature Fusion","publication_year":2025,"publication_date":"2025-05-09","ids":{"openalex":"https://openalex.org/W4410226578","doi":"https://doi.org/10.1109/tits.2025.3565272"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3565272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3565272","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","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/A5070423020","display_name":"Yongchao Song","orcid":"https://orcid.org/0000-0002-5737-368X"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongchao Song","raw_affiliation_strings":["School of Computer and Control Engineering, Yantai University, Yantai, China"],"raw_orcid":"https://orcid.org/0000-0002-5737-368X","affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, Yantai University, Yantai, China","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013038863","display_name":"Jiping Bi","orcid":"https://orcid.org/0009-0004-0183-2949"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiping Bi","raw_affiliation_strings":["School of Computer and Control Engineering, Yantai University, Yantai, China"],"raw_orcid":"https://orcid.org/0009-0004-0183-2949","affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, Yantai University, Yantai, China","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111345312","display_name":"Lijun Sun","orcid":"https://orcid.org/0009-0005-0164-2106"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Sun","raw_affiliation_strings":["School of Computer and Control Engineering, Yantai University, Yantai, China"],"raw_orcid":"https://orcid.org/0009-0005-0164-2106","affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, Yantai University, Yantai, China","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061364578","display_name":"Zhaowei Liu","orcid":"https://orcid.org/0000-0003-0179-815X"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaowei Liu","raw_affiliation_strings":["School of Computer and Control Engineering, Yantai University, Yantai, China"],"raw_orcid":"https://orcid.org/0000-0003-0179-815X","affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, Yantai University, Yantai, China","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061305651","display_name":"Yahong Jiang","orcid":"https://orcid.org/0000-0002-3635-309X"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yahong Jiang","raw_affiliation_strings":["School of Transportation Engineering, Chang’an University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Transportation Engineering, Chang’an University, Xi’an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016140949","display_name":"Xuan Wang","orcid":"https://orcid.org/0000-0002-7606-1411"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Wang","raw_affiliation_strings":["School of Computer and Control Engineering, Yantai University, Yantai, China"],"raw_orcid":"https://orcid.org/0000-0002-7606-1411","affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, Yantai University, Yantai, China","institution_ids":["https://openalex.org/I18452120"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5070423020"],"corresponding_institution_ids":["https://openalex.org/I18452120"],"apc_list":null,"apc_paid":null,"fwci":1.2198,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7856306,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"26","issue":"9","first_page":"12974","last_page":"12986"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9980999827384949,"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":0.9980999827384949,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9950000047683716,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9940000176429749,"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-vision","display_name":"Computer vision","score":0.7289746403694153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7195373773574829},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6033568382263184},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5997415781021118},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5608913898468018},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5221093893051147},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.48548272252082825},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45595505833625793},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.44258052110671997},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43532848358154297},{"id":"https://openalex.org/keywords/monocular-vision","display_name":"Monocular vision","score":0.4118330478668213},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3910466134548187},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1858874261379242}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7289746403694153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7195373773574829},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6033568382263184},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5997415781021118},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5608913898468018},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5221093893051147},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.48548272252082825},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45595505833625793},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.44258052110671997},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43532848358154297},{"id":"https://openalex.org/C158829959","wikidata":"https://www.wikidata.org/wiki/Q1640606","display_name":"Monocular vision","level":2,"score":0.4118330478668213},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3910466134548187},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1858874261379242},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3565272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3565272","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5916581072","display_name":null,"funder_award_id":"ZR2022QF037","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320331081","display_name":"Zibo City Integration Development Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2288122362","https://openalex.org/W2565639579","https://openalex.org/W2780740184","https://openalex.org/W2913960518","https://openalex.org/W2962992847","https://openalex.org/W2964199920","https://openalex.org/W2976534600","https://openalex.org/W2989279786","https://openalex.org/W3014005442","https://openalex.org/W3109790059","https://openalex.org/W3112288498","https://openalex.org/W3119586106","https://openalex.org/W3157173860","https://openalex.org/W3173721678","https://openalex.org/W3173771298","https://openalex.org/W3175091786","https://openalex.org/W3176566042","https://openalex.org/W4221143432","https://openalex.org/W4226493478","https://openalex.org/W4283320849","https://openalex.org/W4293811868","https://openalex.org/W4294576723","https://openalex.org/W4312603285","https://openalex.org/W4312807693","https://openalex.org/W4312839759","https://openalex.org/W4312925104","https://openalex.org/W4313134857","https://openalex.org/W4313535464","https://openalex.org/W4383108583","https://openalex.org/W4386066269","https://openalex.org/W4386076601","https://openalex.org/W4389169869","https://openalex.org/W4390871906","https://openalex.org/W4390872779","https://openalex.org/W4390874028","https://openalex.org/W4393156413","https://openalex.org/W4393864821","https://openalex.org/W4401879614","https://openalex.org/W4402352048","https://openalex.org/W4402727818","https://openalex.org/W4405179853","https://openalex.org/W4406754278"],"related_works":["https://openalex.org/W3213997683","https://openalex.org/W2995270189","https://openalex.org/W2084124712","https://openalex.org/W2435467664","https://openalex.org/W2091635186","https://openalex.org/W4381188157","https://openalex.org/W4251947321","https://openalex.org/W2011626633","https://openalex.org/W2037866696","https://openalex.org/W2027891072"],"abstract_inverted_index":{"3D":[0,86,183,193],"lane":[1,9,65,87,171,179,184],"detection":[2,10,66],"provides":[3],"richer":[4],"spatial":[5,141],"information":[6,103,133,173],"than":[7],"2D":[8],"planar":[11],"position":[12,157],"results.":[13],"It":[14,53],"improves":[15],"vehicle":[16],"perception":[17,62],"in":[18,26],"complex":[19,71],"scenes,":[20],"which":[21],"is":[22],"becoming":[23],"increasingly":[24],"important":[25],"intelligent":[27],"driving.":[28],"However,":[29],"existing":[30],"frameworks":[31],"mainly":[32],"focus":[33],"on":[34,188],"mapping":[35],"front-view":[36],"(FV)":[37],"and":[38,43,51,67,94,134,150,196],"bird\u2019s-eye":[39],"view":[40,162],"(BEV)":[41],"features":[42,111,122],"ignore":[44],"the":[45,61,107,145,148,151,170,178,205,208],"intrinsic":[46],"correlations":[47],"between":[48,147],"different":[49],"perspectives":[50],"scales.":[52],"can":[54],"lead":[55],"to":[56,70,129,174],"incomplete":[57],"feature":[58,114,153,163],"extraction,":[59],"affecting":[60],"accuracy":[63],"of":[64,90,110,158,177,207],"adaptation":[68],"ability":[69],"scenes.":[72],"To":[73,116],"alleviate":[74],"these":[75],"problems,":[76],"we":[77,97,119],"present":[78],"a":[79,99],"novel":[80],"Freq-3DLane":[81],"framework,":[82],"an":[83],"efficient":[84],"end-to-end":[85],"detector.":[88],"Instead":[89],"directly":[91],"superimposing":[92],"deeper":[93],"lower-level":[95],"features,":[96],"propose":[98],"strategy":[100],"for":[101,112,181],"multi-scale":[102],"integration":[104],"that":[105,131,199],"exploits":[106],"frequency":[108,127],"characteristics":[109],"image":[113,121],"extraction.":[115],"enhance":[117],"perception,":[118],"fuse":[120],"at":[123,154],"each":[124],"scale":[125],"through":[126],"processing":[128],"ensure":[130,175],"detailed":[132],"global":[135],"structure":[136],"are":[137],"fully":[138],"utilized.":[139],"Next,":[140],"transformation":[142],"fusion":[143],"captures":[144],"association":[146],"FV":[149],"BEV":[152],"any":[155],"two-pixel":[156],"both,":[159],"thus":[160],"enabling":[161],"transformation.":[164],"In":[165],"addition,":[166],"attentional":[167],"guidance":[168],"enhances":[169],"semantic":[172],"recovery":[176],"geometry":[180],"accurate":[182],"detection.":[185],"Extensive":[186],"results":[187],"two":[189],"challenging":[190],"benchmarks":[191],"(Apollo":[192],"Lane":[194],"Synthetic,":[195],"OpenLane)":[197],"show":[198],"our":[200],"model":[201],"performs":[202],"favorably":[203],"against":[204],"state":[206],"arts.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}