{"id":"https://openalex.org/W4402570523","doi":"https://doi.org/10.1109/tits.2024.3454309","title":"Pavement Point Cloud Upsampling Based on Transformer: Toward Enhancing 3D Pavement Data","display_name":"Pavement Point Cloud Upsampling Based on Transformer: Toward Enhancing 3D Pavement Data","publication_year":2024,"publication_date":"2024-09-17","ids":{"openalex":"https://openalex.org/W4402570523","doi":"https://doi.org/10.1109/tits.2024.3454309"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2024.3454309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3454309","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/A5034204677","display_name":"Tianxiang Bu","orcid":"https://orcid.org/0009-0009-8053-5411"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianxiang Bu","raw_affiliation_strings":["School of Transportation, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003313547","display_name":"Junqing Zhu","orcid":"https://orcid.org/0000-0003-4134-4064"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junqing Zhu","raw_affiliation_strings":["School of Transportation, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024545973","display_name":"Tao Ma","orcid":"https://orcid.org/0000-0002-7963-9370"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Ma","raw_affiliation_strings":["School of Transportation, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114141910","display_name":"Shun Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shun Jiang","raw_affiliation_strings":["School of Transportation, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Transportation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5034204677"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":3.3717,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.92176433,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"25","issue":"12","first_page":"21647","last_page":"21657"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9986000061035156,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9979000091552734,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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":0.7205672264099121},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4922703802585602},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.45028477907180786},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.4310852289199829},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3419296443462372},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19055277109146118}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7205672264099121},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4922703802585602},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.45028477907180786},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.4310852289199829},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3419296443462372},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19055277109146118},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/tits.2024.3454309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3454309","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":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5}],"awards":[{"id":"https://openalex.org/G3519691160","display_name":null,"funder_award_id":"52208428","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1644863801","https://openalex.org/W2061987443","https://openalex.org/W2169611956","https://openalex.org/W2476548250","https://openalex.org/W2963390820","https://openalex.org/W2963680153","https://openalex.org/W2972348482","https://openalex.org/W2997337685","https://openalex.org/W3009260779","https://openalex.org/W3088428216","https://openalex.org/W3106699132","https://openalex.org/W3128475240","https://openalex.org/W3175064897","https://openalex.org/W3175676582","https://openalex.org/W3184736166","https://openalex.org/W4200074249","https://openalex.org/W4200546130","https://openalex.org/W4214755140","https://openalex.org/W4224230678","https://openalex.org/W4283370559","https://openalex.org/W4304080787","https://openalex.org/W4310350234","https://openalex.org/W4323057734","https://openalex.org/W4366678299","https://openalex.org/W4367146803","https://openalex.org/W4386456850","https://openalex.org/W6687484953","https://openalex.org/W6739778489"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2062399876","https://openalex.org/W2607795551","https://openalex.org/W3155117723","https://openalex.org/W1991429770","https://openalex.org/W1983892167","https://openalex.org/W2281134365","https://openalex.org/W4310746709","https://openalex.org/W3176213335"],"abstract_inverted_index":{"The":[0],"accurate":[1],"representation":[2],"of":[3,31,65,92,125,138,145],"pavement":[4,33,49,165,177],"in":[5,123,164,176],"three-dimensional":[6],"(3D)":[7],"space":[8],"is":[9,57],"pivotal":[10],"for":[11,48,158,172],"road":[12],"infrastructure":[13],"management.":[14,178],"However,":[15],"the":[16,28,44,61,87,106,115,136,143,146,151,156],"sparse":[17,97],"measurement":[18],"from":[19,96],"affordable":[20],"equipment,":[21],"such":[22],"as":[23],"2D":[24],"LiDAR,":[25],"has":[26],"limited":[27],"fully":[29],"utilization":[30],"3D":[32],"data.":[34],"This":[35],"paper":[36],"aims":[37],"to":[38,59],"address":[39],"this":[40],"challenge":[41],"by":[42],"exploring":[43],"point":[45,67,81,93],"cloud":[46,68],"upsampling":[47,82],"area.":[50],"Specifically,":[51],"Pavement-PU,":[52],"a":[53,72,110],"novel":[54],"data-driven":[55],"model":[56,116],"designed":[58],"enhance":[60],"quality":[62],"and":[63,90,98,109,129,161,167],"efficiency":[64],"dense":[66],"generation":[69],"task.":[70],"Utilizing":[71],"transformer-based":[73],"feature":[74],"extraction":[75],"module":[76],"coupled":[77],"with":[78],"an":[79],"integrated":[80],"strategy,":[83],"Pavement-PU":[84],"significantly":[85],"improves":[86],"density,":[88],"uniformity,":[89],"accuracy":[91],"clouds":[94],"derived":[95],"irregular":[99],"initial":[100],"scans.":[101],"Through":[102],"rigorous":[103],"testing":[104],"on":[105],"public":[107],"dataset":[108],"specially":[111],"curated":[112],"Pavement3D":[113],"dataset,":[114],"demonstrates":[117],"substantial":[118],"improvements":[119],"over":[120],"existing":[121],"methods":[122,163],"terms":[124],"both":[126],"quantitative":[127],"metrics":[128],"qualitative":[130],"assessments.":[131],"Ablation":[132],"studies":[133],"further":[134],"validate":[135],"impact":[137],"our":[139],"architectural":[140],"choices,":[141],"confirming":[142],"effectiveness":[144],"innovative":[147],"structures":[148],"implemented":[149],"within":[150],"network.":[152],"Our":[153],"research":[154],"paves":[155],"way":[157],"more":[159],"effective":[160],"efficient":[162],"maintenance":[166],"monitoring,":[168],"leveraging":[169],"advanced":[170],"techniques":[171],"practical,":[173],"real-world":[174],"applications":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}
