{"id":"https://openalex.org/W4413980323","doi":"https://doi.org/10.1109/rcar65431.2025.11139816","title":"The study on Point Cloud Semantic Segmentation Based on RandLA-Net Algorithm","display_name":"The study on Point Cloud Semantic Segmentation Based on RandLA-Net Algorithm","publication_year":2025,"publication_date":"2025-06-01","ids":{"openalex":"https://openalex.org/W4413980323","doi":"https://doi.org/10.1109/rcar65431.2025.11139816"},"language":"en","primary_location":{"id":"doi:10.1109/rcar65431.2025.11139816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar65431.2025.11139816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Real-time Computing and Robotics (RCAR)","raw_type":"proceedings-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/A5101491935","display_name":"Yifan Wu","orcid":"https://orcid.org/0000-0002-1529-1563"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yifan Wu","raw_affiliation_strings":["University of Alberta,Department of Computing Science,Edmonton,Canada,T6G 2R3"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta,Department of Computing Science,Edmonton,Canada,T6G 2R3","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084188557","display_name":"Yuexian Gao","orcid":"https://orcid.org/0000-0003-1045-0577"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]},{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuexian Gao","raw_affiliation_strings":["Shandong University,Department of School of Control Science and Engineering,Jinan,China,250061"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University,Department of School of Control Science and Engineering,Jinan,China,250061","institution_ids":["https://openalex.org/I154099455","https://openalex.org/I34949971"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":0.18506315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"527","last_page":"532"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9401999711990356,"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":0.9401999711990356,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7424694895744324},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.6504911184310913},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6096081137657166},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5953680276870728},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5929023027420044},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4569332003593445},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4527781307697296},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4159850478172302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4042869508266449},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10354599356651306}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7424694895744324},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.6504911184310913},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6096081137657166},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5953680276870728},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5929023027420044},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4569332003593445},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4527781307697296},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4159850478172302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4042869508266449},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10354599356651306},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rcar65431.2025.11139816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar65431.2025.11139816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Real-time Computing and Robotics (RCAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2560609797","https://openalex.org/W2962701877","https://openalex.org/W2963231572","https://openalex.org/W2963281829","https://openalex.org/W3012494314","https://openalex.org/W3137210930","https://openalex.org/W4207029546","https://openalex.org/W4293518239","https://openalex.org/W4312339689","https://openalex.org/W4376456786","https://openalex.org/W4392946043","https://openalex.org/W4401453063","https://openalex.org/W4402571701"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W3150465815","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W4413232173","https://openalex.org/W4399442168","https://openalex.org/W2114282491","https://openalex.org/W1522196789"],"abstract_inverted_index":{"3D":[0,115],"point":[1,44,53,116],"cloud":[2,45,54,117],"semantic":[3,55,99],"segmentation":[4,56,100,112,145],"is":[5,18],"widely":[6],"used":[7],"in":[8,26,105,140],"many":[9],"fields,":[10],"such":[11,164],"as":[12,165],"autonomous":[13,27],"driving":[14],"and":[15,17,23,36,89,129,147,155,167],"robotics,":[16],"crucial":[19],"for":[20,93],"path":[21],"planning":[22],"obstacle":[24],"avoidance":[25],"navigation.":[28],"However,":[29],"existing":[30],"methods":[31],"suffer":[32],"from":[33],"poor":[34],"generalization":[35,82,148],"high":[37],"computational":[38],"complexity":[39],"when":[40],"dealing":[41],"with":[42],"large-scale":[43],"data.":[46],"This":[47],"paper":[48,142],"proposes":[49],"a":[50],"lightweight":[51],"improved":[52,135],"algorithm":[57,138],"based":[58],"on":[59,125],"RandLA":[60,136,152],"Net.":[61],"Firstly,":[62],"by":[63,85],"introducing":[64],"residual":[65],"connections,":[66],"the":[67,80,96,109,114,121,126,134,150],"network\u2019s":[68],"feature":[69],"transfer":[70],"capability":[71],"has":[72,101,143,156],"been":[73,102],"enhanced.":[74],"Data":[75],"augmentation":[76],"techniques":[77],"further":[78],"improves":[79],"model\u2019s":[81],"ability.":[83],"Secondly,":[84],"integrating":[86],"attention":[87],"mechanisms":[88],"proposing":[90],"new":[91],"weights":[92],"loss":[94],"functions,":[95],"accuracy":[97,146],"of":[98,111],"improved.":[103],"Finally,":[104],"order":[106],"to":[107,161],"facilitate":[108],"observation":[110],"results,":[113],"was":[118],"visualized":[119],"using":[120],"Meshlab":[122],"tool.":[123],"Experiments":[124],"S3DIS":[127],"dataset":[128],"real-world":[130],"scenarios":[131],"show":[132],"that":[133],"Net":[137,153],"proposed":[139],"this":[141],"better":[144],"than":[149],"original":[151],"algorithm,":[154],"significant":[157],"performance":[158],"improvements":[159],"compared":[160],"classic":[162],"algorithms":[163],"PointNet":[166],"PointNet++.":[168]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
