{"id":"https://openalex.org/W4285265376","doi":"https://doi.org/10.1109/access.2022.3184803","title":"Fast and Lite Point Cloud Semantic Segmentation for Autonomous Driving Utilizing LiDAR Synthetic Training Data","display_name":"Fast and Lite Point Cloud Semantic Segmentation for Autonomous Driving Utilizing LiDAR Synthetic Training Data","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285265376","doi":"https://doi.org/10.1109/access.2022.3184803"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3184803","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3184803","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09801844.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09801844.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104080143","display_name":"Jimin Jeong","orcid":null},"institutions":[{"id":"https://openalex.org/I24062138","display_name":"Konkuk University","ror":"https://ror.org/025h1m602","country_code":"KR","type":"education","lineage":["https://openalex.org/I24062138"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jimin Jeong","raw_affiliation_strings":["Department of Smart Vehicle Engineering, Konkuk University, Gwangjin-gu, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Smart Vehicle Engineering, Konkuk University, Gwangjin-gu, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I24062138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009044922","display_name":"Hamin Song","orcid":"https://orcid.org/0000-0002-7496-7260"},"institutions":[{"id":"https://openalex.org/I24062138","display_name":"Konkuk University","ror":"https://ror.org/025h1m602","country_code":"KR","type":"education","lineage":["https://openalex.org/I24062138"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hamin Song","raw_affiliation_strings":["Department of Smart Vehicle Engineering, Konkuk University, Gwangjin-gu, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Smart Vehicle Engineering, Konkuk University, Gwangjin-gu, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I24062138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026479436","display_name":"Jaehyun Park","orcid":"https://orcid.org/0000-0002-7957-8213"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaehyun Park","raw_affiliation_strings":["Department of Automotive Engineering, Hanyang University, Seongdong-gu, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automotive Engineering, Hanyang University, Seongdong-gu, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027092009","display_name":"Paulo Resende","orcid":"https://orcid.org/0000-0002-5170-7837"},"institutions":[{"id":"https://openalex.org/I220619192","display_name":"Valeo (France)","ror":"https://ror.org/04ryqpf83","country_code":"FR","type":"company","lineage":["https://openalex.org/I220619192"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Paulo Resende","raw_affiliation_strings":["Driving Assistance Research Center, Valeo CEDEX, Bobigny, France","Driving Assistance Research Center, Valeo, CEDEX, Bobigny, France"],"raw_orcid":"https://orcid.org/0000-0002-5170-7837","affiliations":[{"raw_affiliation_string":"Driving Assistance Research Center, Valeo CEDEX, Bobigny, France","institution_ids":["https://openalex.org/I220619192"]},{"raw_affiliation_string":"Driving Assistance Research Center, Valeo, CEDEX, Bobigny, France","institution_ids":["https://openalex.org/I220619192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074368262","display_name":"Benazouz Brada\u00ef","orcid":null},"institutions":[{"id":"https://openalex.org/I220619192","display_name":"Valeo (France)","ror":"https://ror.org/04ryqpf83","country_code":"FR","type":"company","lineage":["https://openalex.org/I220619192"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Benazouz Bradai","raw_affiliation_strings":["Driving Assistance Research Center, Valeo CEDEX, Bobigny, France","Driving Assistance Research Center, Valeo, CEDEX, Bobigny, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Driving Assistance Research Center, Valeo CEDEX, Bobigny, France","institution_ids":["https://openalex.org/I220619192"]},{"raw_affiliation_string":"Driving Assistance Research Center, Valeo, CEDEX, Bobigny, France","institution_ids":["https://openalex.org/I220619192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039992666","display_name":"Kichun Jo","orcid":"https://orcid.org/0000-0003-0543-2198"},"institutions":[{"id":"https://openalex.org/I24062138","display_name":"Konkuk University","ror":"https://ror.org/025h1m602","country_code":"KR","type":"education","lineage":["https://openalex.org/I24062138"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kichun Jo","raw_affiliation_strings":["Department of Smart Vehicle Engineering, Konkuk University, Gwangjin-gu, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Smart Vehicle Engineering, Konkuk University, Gwangjin-gu, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I24062138"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5104080143"],"corresponding_institution_ids":["https://openalex.org/I24062138"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7791,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.66116445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"78899","last_page":"78909"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9994999766349792,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9987000226974487,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9968000054359436,"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-science","display_name":"Computer science","score":0.8617668747901917},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8240404725074768},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7806422710418701},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.717598021030426},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6125333309173584},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5512363910675049},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5322354435920715},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4592535197734833},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4287324845790863},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42546209692955017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4205881953239441},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.41401153802871704},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39368659257888794},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3777231276035309},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.1218281090259552}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8617668747901917},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8240404725074768},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7806422710418701},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.717598021030426},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6125333309173584},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5512363910675049},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5322354435920715},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4592535197734833},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4287324845790863},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42546209692955017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4205881953239441},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.41401153802871704},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39368659257888794},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3777231276035309},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.1218281090259552},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3184803","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3184803","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09801844.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ed38ef09b2cb4c478950dfcf7ecc1326","is_oa":true,"landing_page_url":"https://doaj.org/article/ed38ef09b2cb4c478950dfcf7ecc1326","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 78899-78909 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3184803","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3184803","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09801844.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3092034276","display_name":null,"funder_award_id":"2020R1C1C1007739","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G7304465157","display_name":null,"funder_award_id":"P0020536","funder_id":"https://openalex.org/F4320321681","funder_display_name":"Ministry of Trade, Industry and Energy"},{"id":"https://openalex.org/G7532285180","display_name":null,"funder_award_id":"2020R1C1C1007739","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G8132207299","display_name":null,"funder_award_id":"P0020536","funder_id":"https://openalex.org/F4320322064","funder_display_name":"Korea Institute for Advancement of Technology"},{"id":"https://openalex.org/G8728727074","display_name":null,"funder_award_id":"2020R1C1C1007739","funder_id":"https://openalex.org/F4320321681","funder_display_name":"Ministry of Trade, Industry and Energy"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321681","display_name":"Ministry of Trade, Industry and Energy","ror":"https://ror.org/008nkqk13"},{"id":"https://openalex.org/F4320322064","display_name":"Korea Institute for Advancement of Technology","ror":"https://ror.org/015w1qa96"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285265376.pdf","grobid_xml":"https://content.openalex.org/works/W4285265376.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1942635339","https://openalex.org/W2150066425","https://openalex.org/W2159213092","https://openalex.org/W2460657278","https://openalex.org/W2560609797","https://openalex.org/W2576289912","https://openalex.org/W2889895098","https://openalex.org/W2960986959","https://openalex.org/W2962744619","https://openalex.org/W2962759496","https://openalex.org/W2962912109","https://openalex.org/W2963201472","https://openalex.org/W2963281829","https://openalex.org/W2963586834","https://openalex.org/W2963706542","https://openalex.org/W2965376383","https://openalex.org/W2968557240","https://openalex.org/W2974072847","https://openalex.org/W2990613095","https://openalex.org/W2991216808","https://openalex.org/W3003437478","https://openalex.org/W3003991701","https://openalex.org/W3007809903","https://openalex.org/W3012494314","https://openalex.org/W3024965910","https://openalex.org/W3034239841","https://openalex.org/W3035275207","https://openalex.org/W3039442820","https://openalex.org/W3040741167","https://openalex.org/W3050158224","https://openalex.org/W3092861917","https://openalex.org/W3093434340","https://openalex.org/W3109154950","https://openalex.org/W3109944402","https://openalex.org/W3177464700","https://openalex.org/W3201841267","https://openalex.org/W6694176403","https://openalex.org/W6717372056","https://openalex.org/W6748667437","https://openalex.org/W6750227808","https://openalex.org/W6753228762","https://openalex.org/W6765299845","https://openalex.org/W6781274669","https://openalex.org/W6781919949","https://openalex.org/W6781920745","https://openalex.org/W6786491437"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W4281783339","https://openalex.org/W1964041166","https://openalex.org/W4293094720","https://openalex.org/W2739701376"],"abstract_inverted_index":{"In":[0],"the":[1,17,22,28,47,82,90,95,104,110,116,144,156,161,173,177],"autonomous":[2,40,73],"car,":[3],"perception":[4],"with":[5],"point":[6,67,163],"cloud":[7,68,164],"semantic":[8,69,165],"segmentation":[9,70,128,166],"helps":[10],"obtain":[11],"a":[12,63,121,126],"wealth":[13],"of":[14,25,39,49,106,109],"information":[15],"about":[16],"surrounding":[18],"road":[19],"environment.":[20],"Despite":[21],"massive":[23],"progress":[24],"recent":[26],"researches,":[27],"existing":[29,178],"machine":[30],"learning":[31],"networks":[32],"are":[33],"still":[34],"insufficient":[35],"for":[36,72,99],"online":[37,169],"applications":[38],"driving":[41],"due":[42],"to":[43,80,102,114,130],"too":[44],"subdivided":[45],"classes,":[46],"lack":[48,105],"training":[50,101,107],"data,":[51],"and":[52,65,93,124,142],"their":[53],"heavy":[54],"computing":[55,117],"load.":[56],"To":[57],"solve":[58],"these":[59],"problems,":[60],"we":[61,88,119,140],"propose":[62],"fast":[64],"lite":[66],"network":[71,129,146,158],"driving,":[74],"which":[75,134,172],"utilizes":[76],"LiDAR":[77,96,132],"synthetic":[78,97],"data":[79,108],"improve":[81],"performance":[83],"by":[84],"transfer":[85],"learning.":[86],"First,":[87],"modify":[89],"labeling":[91],"classes":[92],"generate":[94],"data-set":[98],"additional":[100],"alleviate":[103],"realistic":[111],"data-set.":[112],"Then,":[113],"lower":[115],"load,":[118],"adopt":[120],"projection-based":[122],"method":[123],"apply":[125],"lightweight":[127],"projected":[131],"images,":[133],"has":[135],"drastically":[136],"reduced":[137],"computing.":[138],"Finally,":[139],"verified":[141],"evaluated":[143],"proposed":[145,157],"in":[147,167,171],"this":[148],"paper":[149],"through":[150],"experiments.":[151],"Experimental":[152],"results":[153],"show":[154],"that":[155],"can":[159],"perform":[160],"three-dimensional":[162],"an":[168],"way,":[170],"inference":[174],"speed":[175],"overwhelms":[176],"algorithms.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
