{"id":"https://openalex.org/W4387829002","doi":"https://doi.org/10.1109/igarss52108.2023.10282549","title":"A Randla-Net-Based Approach to Segment Roadway Objects in Large-Scale Point Clouds","display_name":"A Randla-Net-Based Approach to Segment Roadway Objects in Large-Scale Point Clouds","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387829002","doi":"https://doi.org/10.1109/igarss52108.2023.10282549"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10282549","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10282549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","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/A5111302995","display_name":"Xinliang LU","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinliang Lu","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,School of Geographic and Biologic Information,China","School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,School of Geographic and Biologic Information,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100767171","display_name":"Deliang Chen","orcid":"https://orcid.org/0000-0003-1715-3823"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deliang Chen","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,School of Geographic and Biologic Information,China","School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,School of Geographic and Biologic Information,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100344949","display_name":"Zhenyu Wang","orcid":"https://orcid.org/0000-0002-3644-7571"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Wang","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,School of Computer Science,China","School of Computer Science, Nanjing University of Posts and Telecommunications, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,School of Computer Science,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101108758","display_name":"Haojie Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haojie Ma","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,School of Computer Science,China","School of Computer Science, Nanjing University of Posts and Telecommunications, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,School of Computer Science,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102019358","display_name":"Xuan Ma","orcid":"https://orcid.org/0000-0003-4598-9505"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Ma","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,School of Geographic and Biologic Information,China","School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,School of Geographic and Biologic Information,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"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":0.12651105,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"5246","last_page":"5249"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/point-cloud","display_name":"Point cloud","score":0.8653583526611328},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8582923412322998},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7216697931289673},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5942914485931396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.568991482257843},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5426573753356934},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5005292892456055},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46476826071739197},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4481092691421509},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3296704888343811},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.12129151821136475},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11667215824127197},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09716922044754028}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8653583526611328},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8582923412322998},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7216697931289673},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5942914485931396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.568991482257843},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5426573753356934},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5005292892456055},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46476826071739197},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4481092691421509},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3296704888343811},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.12129151821136475},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11667215824127197},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09716922044754028},{"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/igarss52108.2023.10282549","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10282549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8199999928474426,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2152864241","https://openalex.org/W2609946960","https://openalex.org/W2951254960","https://openalex.org/W2955873422","https://openalex.org/W2963182550","https://openalex.org/W2994780231","https://openalex.org/W3012494314","https://openalex.org/W3039448353","https://openalex.org/W6736894448","https://openalex.org/W6739778489","https://openalex.org/W6763422710"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W1578717197","https://openalex.org/W2626737336","https://openalex.org/W2005998065","https://openalex.org/W2114282491","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Mobile":[0],"Laser":[1],"Scanning":[2],"(MLS)":[3],"systems":[4],"provide":[5],"fast":[6],"and":[7,12,57,63,102,115,125,130,143],"easy":[8],"access":[9],"to":[10,54,151],"dense":[11],"accurate":[13],"point":[14,48,61],"clouds":[15,49],"of":[16,21,44,60,66,123],"roadways.":[17],"Currently,":[18],"semantic":[19,42,81,100,121],"segmentation":[20,43,82,122,142,148],"urban":[22,33,46,156],"roadway":[23,47,157],"objects":[24,80,127],"in":[25,32,149],"these":[26],"data":[27],"plays":[28],"a":[29,97],"significant":[30],"role":[31],"modelling,":[34],"autonomous":[35],"driving,":[36],"intelligent":[37],"transportation,":[38],"etc.":[39],"However,":[40],"the":[41,55,64,105,116,134],"large-scale":[45],"is":[50],"still":[51],"challenging":[52],"due":[53],"unstructured":[56],"disordered":[58],"nature":[59],"cloud":[62],"enormousness":[65],"points":[67,155],"acquired":[68],"during":[69],"practical":[70],"applications.":[71],"Based":[72],"on":[73,85,107],"that,":[74],"we":[75,90,137],"propose":[76],"an":[77],"automated":[78],"target":[79],"approach":[83],"based":[84],"RandLA-Net.":[86],"With":[87],"this":[88],"procedure,":[89],"first":[91],"perform":[92],"sample":[93],"annotation,":[94],"then":[95],"train":[96],"RandLA-Net":[98],"for":[99,120],"segmentation,":[101],"finally":[103],"evaluate":[104],"model":[106],"test":[108],"sets.":[109],"The":[110],"mean":[111],"IoU":[112],"reaches":[113],"76.54%,":[114],"recall":[117],"score":[118],"metrics":[119],"buildings":[124],"rods-like":[126,146],"reach":[128],"96.44%":[129],"93.66%,":[131],"respectively.":[132],"From":[133],"visualized":[135],"results,":[136],"achieved":[138],"clean":[139],"building":[140],"contour":[141],"robust,":[144],"consistent":[145],"object":[147],"up":[150],"10<sup":[152],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[153],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">8</sup>":[154],"scenarios.":[158]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}