{"id":"https://openalex.org/W4401691710","doi":"https://doi.org/10.1109/tiv.2024.3445814","title":"Filling Missing Values Matters for Range Image-Based Point Cloud Segmentation","display_name":"Filling Missing Values Matters for Range Image-Based Point Cloud Segmentation","publication_year":2024,"publication_date":"2024-08-19","ids":{"openalex":"https://openalex.org/W4401691710","doi":"https://doi.org/10.1109/tiv.2024.3445814"},"language":"en","primary_location":{"id":"doi:10.1109/tiv.2024.3445814","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tiv.2024.3445814","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Vehicles","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tiv.2024.3445814","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038826544","display_name":"Bike Chen","orcid":"https://orcid.org/0000-0003-1479-7893"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Bike Chen","raw_affiliation_strings":["Biomimetics and Intelligent Systems Group, University of Oulu, Oulu, Finland","Biomimetics and Intelligent Systems Group, University of Oulu, Finland"],"raw_orcid":"https://orcid.org/0000-0003-1479-7893","affiliations":[{"raw_affiliation_string":"Biomimetics and Intelligent Systems Group, University of Oulu, Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]},{"raw_affiliation_string":"Biomimetics and Intelligent Systems Group, University of Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030222911","display_name":"Chen Gong","orcid":"https://orcid.org/0000-0002-4092-9856"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Gong","raw_affiliation_strings":["LEAP Group, Nanjing University of Science and Technology, Nanjing, China","LEAP Group, Nanjing University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-4092-9856","affiliations":[{"raw_affiliation_string":"LEAP Group, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"LEAP Group, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070507098","display_name":"Juha R\u00f6ning","orcid":"https://orcid.org/0000-0001-9993-8602"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Juha R\u00f6ning","raw_affiliation_strings":["Biomimetics and Intelligent Systems Group, University of Oulu, Oulu, Finland","Biomimetics and Intelligent Systems Group, University of Oulu, Finland"],"raw_orcid":"https://orcid.org/0000-0001-9993-8602","affiliations":[{"raw_affiliation_string":"Biomimetics and Intelligent Systems Group, University of Oulu, Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]},{"raw_affiliation_string":"Biomimetics and Intelligent Systems Group, University of Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1647,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4460402,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"10","issue":"5","first_page":"2998","last_page":"3015"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9955000281333923,"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":0.9955000281333923,"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":0.995199978351593,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9760000109672546,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6707949042320251},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5924098491668701},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5916646718978882},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5367122292518616},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.4728165864944458},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4694981575012207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.466386079788208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4661981165409088},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4267067313194275},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41382896900177},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19113224744796753},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09935835003852844},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09170165657997131},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08903750777244568}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6707949042320251},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5924098491668701},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5916646718978882},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5367122292518616},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.4728165864944458},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4694981575012207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.466386079788208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4661981165409088},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4267067313194275},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41382896900177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19113224744796753},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09935835003852844},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09170165657997131},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08903750777244568},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tiv.2024.3445814","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tiv.2024.3445814","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Vehicles","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/tiv.2024.3445814","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tiv.2024.3445814","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Vehicles","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W2003805688","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2201791961","https://openalex.org/W2296228853","https://openalex.org/W2340897893","https://openalex.org/W2610512230","https://openalex.org/W2884822772","https://openalex.org/W2962912109","https://openalex.org/W2963125977","https://openalex.org/W2968557240","https://openalex.org/W2991216808","https://openalex.org/W3003437478","https://openalex.org/W3003991701","https://openalex.org/W3012494314","https://openalex.org/W3020472769","https://openalex.org/W3035748168","https://openalex.org/W3080432947","https://openalex.org/W3084053805","https://openalex.org/W3109154950","https://openalex.org/W3109944402","https://openalex.org/W3119197669","https://openalex.org/W3136022415","https://openalex.org/W3138516171","https://openalex.org/W3161855852","https://openalex.org/W3175515048","https://openalex.org/W3177330511","https://openalex.org/W3184647803","https://openalex.org/W3198519842","https://openalex.org/W3198790326","https://openalex.org/W3206480303","https://openalex.org/W4285147600","https://openalex.org/W4293517970","https://openalex.org/W4312443924","https://openalex.org/W4313007769","https://openalex.org/W4315778466","https://openalex.org/W4386057719","https://openalex.org/W4386065344","https://openalex.org/W4386065958","https://openalex.org/W4386071758","https://openalex.org/W4390871794","https://openalex.org/W4390872573","https://openalex.org/W4390872801","https://openalex.org/W4390874124","https://openalex.org/W4402754177"],"related_works":["https://openalex.org/W4380150146","https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W2085630472","https://openalex.org/W1977098485","https://openalex.org/W4399442168","https://openalex.org/W2114282491"],"abstract_inverted_index":{"Point":[0],"cloud":[1],"segmentation":[2],"(PCS)":[3],"plays":[4],"an":[5],"essential":[6],"role":[7],"in":[8,45,63,104,117,122,146,174,232],"robot":[9],"perception":[10],"and":[11,33,52,66,95,186,195,205,226,249],"navigation":[12],"tasks.":[13],"To":[14,126],"efficiently":[15],"understand":[16],"large-scale":[17],"outdoor":[18],"point":[19],"clouds,":[20],"their":[21],"range":[22,36,47,106,149,211,246],"image":[23],"representation":[24,30],"is":[25,31],"commonly":[26],"adopted.":[27],"This":[28,56],"image-like":[29],"compact":[32],"structured,":[34],"making":[35],"image-based":[37,212,247],"PCS":[38,75,124,213],"models":[39,62,76,214],"practical.":[40],"However,":[41],"undesirable":[42],"missing":[43,102,120,144,175],"values":[44,103,121,145],"the":[46,50,61,71,74,89,105,118,123,147,180,202,220,235],"images":[48],"damage":[49],"shapes":[51],"patterns":[53],"of":[54,91,234],"objects.":[55,72],"problem":[57],"creates":[58],"difficulty":[59],"for":[60],"learning":[64],"coherent":[65],"complete":[67],"geometric":[68],"information":[69],"from":[70],"Consequently,":[73],"only":[77],"achieve":[78,216,229],"inferior":[79],"performance.":[80],"Delving":[81],"deeply":[82],"into":[83],"this":[84,128],"issue,":[85],"we":[86,130,152,178],"find":[87],"that":[88,199],"use":[90],"unreasonable":[92],"projection":[93,135],"approaches":[94],"deskewing":[96],"scans":[97],"mainly":[98],"leads":[99],"to":[100,114,141,171,244],"unwanted":[101],"images.":[107,150],"Besides,":[108,223],"almost":[109],"all":[110],"previous":[111],"works":[112],"fail":[113],"consider":[115],"filling":[116],"unexpected":[119],"task.":[125],"alleviate":[127],"problem,":[129],"first":[131],"propose":[132],"a":[133,154],"new":[134],"method,":[136],"namely":[137,159],"scan":[138],"unfolding++":[139],"(SU++),":[140],"avoid":[142],"massive":[143],"generated":[148],"Then,":[151],"introduce":[153,179],"simple":[155],"yet":[156],"effective":[157],"approach,":[158],"range-dependent":[160],"<inline-formula":[161,206],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[162,168,207],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[163,169,208],"notation=\"LaTeX\">$K$</tex-math></inline-formula>-nearest":[164],"neighbor":[165],"interpolation":[166],"(<inline-formula":[167],"notation=\"LaTeX\">$K$</tex-math></inline-formula>NNI),":[170],"further":[172],"fill":[173],"values.":[176],"Finally,":[177],"Filling":[181],"Missing":[182],"Values":[183],"Network":[184],"(FMVNet)":[185],"Fast":[187,227],"FMVNet.":[188],"Extensive":[189],"experimental":[190],"results":[191],"on":[192],"SemanticKITTI,":[193],"SemanticPOSS,":[194],"nuScenes":[196],"datasets":[197],"demonstrate":[198],"by":[200],"employing":[201],"proposed":[203,239],"SU++":[204],"notation=\"LaTeX\">$K$</tex-math></inline-formula>NNI,":[209],"existing":[210],"consistently":[215],"better":[217],"performance":[218,231],"than":[219],"baseline":[221],"models.":[222],"both":[224],"FMVNet":[225,228],"state-of-the-art":[230],"terms":[233],"speed-accuracy":[236],"trade-off.":[237],"The":[238],"methods":[240],"can":[241],"be":[242],"applied":[243],"other":[245],"tasks":[248],"practical":[250],"applications.":[251]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
