{"id":"https://openalex.org/W4412985009","doi":"https://doi.org/10.1109/tits.2025.3591901","title":"CSGNet: A LiDAR-Based Lane Detection Network With Cyclic-Shifting Group Convolution","display_name":"CSGNet: A LiDAR-Based Lane Detection Network With Cyclic-Shifting Group Convolution","publication_year":2025,"publication_date":"2025-08-05","ids":{"openalex":"https://openalex.org/W4412985009","doi":"https://doi.org/10.1109/tits.2025.3591901"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3591901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3591901","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/A5100780980","display_name":"Yijing Wang","orcid":"https://orcid.org/0000-0002-2430-7213"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yijing Wang","raw_affiliation_strings":["Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System, School of Electrical and Information Engineering, Tianjin University, Tianjin, China","School of Electrical and Information Engineering, Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System, School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056283001","display_name":"Yanzhang Wang","orcid":"https://orcid.org/0000-0003-4039-9215"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanzhang Wang","raw_affiliation_strings":["Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System, School of Electrical and Information Engineering, Tianjin University, Tianjin, China","School of Electrical and Information Engineering, Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System, School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089199192","display_name":"Zheng Li","orcid":"https://orcid.org/0000-0002-3278-8352"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Li","raw_affiliation_strings":["Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System, School of Electrical and Information Engineering, Tianjin University, Tianjin, China","School of Electrical and Information Engineering, Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System, School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100609886","display_name":"Chuan Hu","orcid":"https://orcid.org/0000-0001-5379-1561"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Hu","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037713727","display_name":"Zhiqiang Zuo","orcid":"https://orcid.org/0000-0002-4566-7488"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Zuo","raw_affiliation_strings":["Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System, School of Electrical and Information Engineering, Tianjin University, Tianjin, China","School of Electrical and Information Engineering, Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System, School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100780980"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25104703,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":"11","first_page":"20041","last_page":"20053"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9984999895095825,"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":0.9984999895095825,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.987500011920929,"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/lidar","display_name":"Lidar","score":0.8214970827102661},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7226505279541016},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5282717943191528},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.49260812997817993},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.4705738425254822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34384632110595703},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2587369680404663},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11433133482933044}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8214970827102661},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7226505279541016},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5282717943191528},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.49260812997817993},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.4705738425254822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34384632110595703},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2587369680404663},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11433133482933044},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3591901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3591901","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/G122899604","display_name":null,"funder_award_id":"62173243","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6347684835","display_name":null,"funder_award_id":"61933014","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":59,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2022632506","https://openalex.org/W2026541421","https://openalex.org/W2041310334","https://openalex.org/W2042740304","https://openalex.org/W2072485471","https://openalex.org/W2093995201","https://openalex.org/W2116484457","https://openalex.org/W2141039110","https://openalex.org/W2194775991","https://openalex.org/W2531409750","https://openalex.org/W2549139847","https://openalex.org/W2565639579","https://openalex.org/W2592939477","https://openalex.org/W2618530766","https://openalex.org/W2743289088","https://openalex.org/W2780740184","https://openalex.org/W2794562224","https://openalex.org/W2909761845","https://openalex.org/W2913960518","https://openalex.org/W2914821954","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963400571","https://openalex.org/W2964199920","https://openalex.org/W2968296999","https://openalex.org/W2989279786","https://openalex.org/W3015248322","https://openalex.org/W3109790059","https://openalex.org/W3118490488","https://openalex.org/W3152847769","https://openalex.org/W3157173860","https://openalex.org/W3167976421","https://openalex.org/W3172560577","https://openalex.org/W3173771298","https://openalex.org/W3175683656","https://openalex.org/W3176673965","https://openalex.org/W4224927203","https://openalex.org/W4226343873","https://openalex.org/W4282921501","https://openalex.org/W4285049539","https://openalex.org/W4292829054","https://openalex.org/W4308068964","https://openalex.org/W4312312856","https://openalex.org/W4312603285","https://openalex.org/W4312807693","https://openalex.org/W4312839759","https://openalex.org/W4313116768","https://openalex.org/W4320902890","https://openalex.org/W4362654659","https://openalex.org/W4368232744","https://openalex.org/W4382240260","https://openalex.org/W4383108583","https://openalex.org/W4385245566","https://openalex.org/W4386076325","https://openalex.org/W4386270566","https://openalex.org/W4399310724","https://openalex.org/W4402727818","https://openalex.org/W4403181952"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W4406302447","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W2351984678","https://openalex.org/W2140032575","https://openalex.org/W2011860471","https://openalex.org/W2012196540","https://openalex.org/W3011451421"],"abstract_inverted_index":{"Lane":[0],"detection":[1,26,53,100,119,133,168],"is":[2,110,136],"one":[3],"of":[4,21,180],"the":[5,13,19,48,76,92,114,123,141,149,156,163,189],"most":[6],"critical":[7],"tasks":[8],"in":[9,96,188],"autonomous":[10],"driving.":[11],"In":[12,45],"past":[14],"few":[15],"years,":[16],"due":[17],"to":[18,38,42,47,57,112],"development":[20],"deep":[22],"neural":[23],"networks,":[24],"lane":[25,52,99,132,167],"approaches":[27],"using":[28],"onboard":[29],"sensors":[30],"like":[31],"cameras":[32],"and":[33,90,117,145,177],"LiDAR":[34],"have":[35],"been":[36],"proven":[37],"be":[39],"effective":[40],"ways":[41],"improve":[43,118],"performance.":[44],"contrast":[46],"camera-based":[49],"scheme,":[50],"LiDAR-based":[51,98,131,166],"exhibits":[54],"remarkable":[55],"robustness":[56],"varying":[58],"lighting":[59],"conditions.":[60],"This":[61],"paper":[62],"proposes":[63],"a":[64,103,130],"novel":[65],"cyclic-shifting":[66],"group":[67,74,87],"convolution":[68],"(CSGConv)":[69],"module.":[70],"Compared":[71,161],"with":[72,162],"classical":[73],"convolution,":[75],"proposed":[77],"CSGConv":[78,107],"module":[79],"can":[80],"efficiently":[81],"promote":[82],"information":[83],"exchange":[84],"among":[85],"different":[86],"feature":[88],"channels":[89],"reduce":[91],"high":[93],"computational":[94],"burden":[95],"current":[97,164],"networks.":[101],"Then,":[102],"cross":[104],"stage":[105],"partial":[106],"(CSPCSG)":[108],"block":[109],"designed":[111],"enlarge":[113],"receptive":[115],"field":[116],"performance,":[120],"especially":[121],"when":[122],"lanes":[124],"are":[125,186],"curved":[126],"or":[127],"occluded.":[128],"Subsequently,":[129],"network,":[134],"CSGNet,":[135],"put":[137],"forward":[138],"by":[139],"integrating":[140],"CSPCSG":[142],"block.":[143],"Experiments":[144],"ablation":[146],"tests":[147],"on":[148],"dataset":[150],"illustrate":[151],"that":[152],"our":[153,171],"strategy":[154],"achieves":[155],"highest":[157],"83.9%":[158],"overall":[159],"F1-score.":[160],"state-of-the-art":[165],"method":[169],"LLDN-RW,":[170],"results":[172],"exhibit":[173],"2.5":[174],"times":[175],"faster":[176],"39%":[178],"reduction":[179],"FLOPs,":[181],"which":[182],"indicates":[183],"less":[184],"resources":[185],"required":[187],"online":[190],"process.":[191]},"counts_by_year":[],"updated_date":"2025-11-12T23:11:45.498971","created_date":"2025-10-10T00:00:00"}