{"id":"https://openalex.org/W4379793640","doi":"https://doi.org/10.5194/agile-giss-4-7-2023","title":"Detecting Road Damages in Mobile Mapping Point Clouds using Competitive Reconstruction Networks","display_name":"Detecting Road Damages in Mobile Mapping Point Clouds using Competitive Reconstruction Networks","publication_year":2023,"publication_date":"2023-06-06","ids":{"openalex":"https://openalex.org/W4379793640","doi":"https://doi.org/10.5194/agile-giss-4-7-2023"},"language":"en","primary_location":{"id":"doi:10.5194/agile-giss-4-7-2023","is_oa":true,"landing_page_url":"http://dx.doi.org/10.5194/agile-giss-4-7-2023","pdf_url":"https://agile-giss.copernicus.org/articles/4/7/2023/agile-giss-4-7-2023.pdf","source":{"id":"https://openalex.org/S4210203054","display_name":"AGILE GIScience Series","issn_l":"2700-8150","issn":["2700-8150"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AGILE: GIScience Series","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://agile-giss.copernicus.org/articles/4/7/2023/agile-giss-4-7-2023.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092111819","display_name":"Paul Mattes","orcid":null},"institutions":[{"id":"https://openalex.org/I143288331","display_name":"Hasso Plattner Institute","ror":"https://ror.org/058rn5r42","country_code":"DE","type":"facility","lineage":["https://openalex.org/I143288331","https://openalex.org/I176453806"]},{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Paul Mattes","raw_affiliation_strings":["University of Potsdam, Digital Engineering Faculty, Hasso Plattner Institute, Potsdam, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Potsdam, Digital Engineering Faculty, Hasso Plattner Institute, Potsdam, Germany","institution_ids":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035885351","display_name":"Rico Richter","orcid":"https://orcid.org/0000-0001-5523-3694"},"institutions":[{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rico Richter","raw_affiliation_strings":["University of Potsdam, Digital Engineering Faculty, Potsdam, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Potsdam, Digital Engineering Faculty, Potsdam, Germany","institution_ids":["https://openalex.org/I176453806"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081246092","display_name":"J\u00fcrgen D\u00f6llner","orcid":null},"institutions":[{"id":"https://openalex.org/I143288331","display_name":"Hasso Plattner Institute","ror":"https://ror.org/058rn5r42","country_code":"DE","type":"facility","lineage":["https://openalex.org/I143288331","https://openalex.org/I176453806"]},{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J\u00fcrgen D\u00f6llner","raw_affiliation_strings":["University of Potsdam, Digital Engineering Faculty, Hasso Plattner Institute, Potsdam, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Potsdam, Digital Engineering Faculty, Hasso Plattner Institute, Potsdam, Germany","institution_ids":["https://openalex.org/I143288331","https://openalex.org/I176453806"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5278,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.55762551,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9919999837875366,"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":0.9919999837875366,"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":0.9840999841690063,"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"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9775000214576721,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.9109538793563843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8020706176757812},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.627146303653717},{"id":"https://openalex.org/keywords/mobile-mapping","display_name":"Mobile mapping","score":0.6112006902694702},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.576714038848877},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5255469083786011},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4973037540912628},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4947178065776825},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.44847556948661804},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4230331778526306},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3820090591907501},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2513349950313568},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11402681469917297},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09368884563446045}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.9109538793563843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8020706176757812},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.627146303653717},{"id":"https://openalex.org/C2776821279","wikidata":"https://www.wikidata.org/wiki/Q2293902","display_name":"Mobile mapping","level":3,"score":0.6112006902694702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.576714038848877},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5255469083786011},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4973037540912628},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4947178065776825},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.44847556948661804},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4230331778526306},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3820090591907501},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2513349950313568},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11402681469917297},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09368884563446045},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5194/agile-giss-4-7-2023","is_oa":true,"landing_page_url":"http://dx.doi.org/10.5194/agile-giss-4-7-2023","pdf_url":"https://agile-giss.copernicus.org/articles/4/7/2023/agile-giss-4-7-2023.pdf","source":{"id":"https://openalex.org/S4210203054","display_name":"AGILE GIScience Series","issn_l":"2700-8150","issn":["2700-8150"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AGILE: GIScience Series","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.5194/agile-giss-4-7-2023","is_oa":true,"landing_page_url":"http://dx.doi.org/10.5194/agile-giss-4-7-2023","pdf_url":"https://agile-giss.copernicus.org/articles/4/7/2023/agile-giss-4-7-2023.pdf","source":{"id":"https://openalex.org/S4210203054","display_name":"AGILE GIScience Series","issn_l":"2700-8150","issn":["2700-8150"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"AGILE: GIScience Series","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G5033903115","display_name":null,"funder_award_id":"01IS22062","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"}],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4379793640.pdf"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2034845925","https://openalex.org/W2084512860","https://openalex.org/W2086312876","https://openalex.org/W2533835508","https://openalex.org/W2535388113","https://openalex.org/W2599354622","https://openalex.org/W2616896738","https://openalex.org/W2788633781","https://openalex.org/W2808879436","https://openalex.org/W2893713665","https://openalex.org/W2901670425","https://openalex.org/W2903941121","https://openalex.org/W2909978560","https://openalex.org/W2914570111","https://openalex.org/W2922213706","https://openalex.org/W2949399848","https://openalex.org/W2951940080","https://openalex.org/W2962775818","https://openalex.org/W2963706720","https://openalex.org/W2972348482","https://openalex.org/W2978971541","https://openalex.org/W3034986516","https://openalex.org/W3096831136","https://openalex.org/W3111546955","https://openalex.org/W3118600296","https://openalex.org/W3118895125","https://openalex.org/W3166166117","https://openalex.org/W4205962651","https://openalex.org/W4214694907","https://openalex.org/W4225747444","https://openalex.org/W4287683516","https://openalex.org/W4381304672"],"related_works":["https://openalex.org/W3039299368","https://openalex.org/W4313889901","https://openalex.org/W4312098327","https://openalex.org/W4226195147","https://openalex.org/W2979718872","https://openalex.org/W2901678520","https://openalex.org/W4312828305","https://openalex.org/W3158534694","https://openalex.org/W3214722467","https://openalex.org/W2561990479"],"abstract_inverted_index":{"Abstract.":[0],"LiDAR":[1,61,152],"scanning":[2],"technology":[3],"is":[4,65,72],"an":[5,176],"established":[6],"method":[7,182],"for":[8,146,245],"capturing":[9],"landscapes,":[10],"buildings,":[11],"or":[12,54],"roads":[13,225],"in":[14,126,175,205],"order":[15],"to":[16,51,75,81,91,216,231,236],"create":[17],"a":[18,28,76,117,137,212],"so-called":[19],"spatial":[20,39],"digital":[21],"twin":[22],"of":[23,31,49,60,78,95,224,241],"the":[24,47,92,172,196,238,242],"reality,":[25],"stored":[26],"as":[27,193,195],"large":[29,93],"collection":[30],"3D":[32,35,62,221,233,243],"coordinates":[33],"called":[34],"point":[36,63,86,153,222,234],"cloud.":[37],"This":[38,70],"data":[40,110,115,155,213,244],"offers":[41],"high":[42],"density":[43],"and":[44,83,89,111,120,185,199,226],"precision":[45],"at":[46],"cost":[48],"hard":[50],"extract":[52,82],"shape":[53],"object":[55],"information.":[56],"One":[57],"popular":[58],"application":[59],"clouds":[64,235],"road":[66,85,96,190],"condition":[67],"quality":[68],"exams.":[69],"task":[71,122],"challenging":[73],"due":[74,90],"lack":[77],"dedicated":[79],"algorithms":[80],"evaluate":[84],"cloud":[87,154,223],"features":[88],"variety":[94],"damages.":[97],"Deep":[98],"learning":[99],"approaches":[100,204],"are":[101],"very":[102,118],"promising,":[103],"but":[104],"require":[105],"extensive":[106],"training":[107,218],"data.":[108],"The":[109],"damage":[112],"characteristics":[113],"make":[114],"labeling":[116,147],"difficult":[119],"tedious":[121],"that":[123],"often":[124],"results":[125,187],"mislabeled":[127],"data,":[128],"even":[129],"when":[130],"performed":[131],"by":[132,157],"trained":[133],"human":[134],"operators.We":[135],"propose":[136],"semi":[138],"supervised":[139],"generative":[140],"adversarial":[141],"network":[142],"(GAN)":[143],"based":[144],"approach":[145],"2D":[148],"images":[149,219],"rendered":[150],"from":[151,220],"captured":[156],"mobile":[158],"mapping":[159],"vehicles,":[160],"named":[161],"Competitive":[162],"Reconstruction":[163],"Networks":[164],"(CRN).":[165],"Our":[166,181],"solution":[167],"trains":[168],"multiple":[169],"networks":[170],"with":[171],"same":[173],"architecture":[174],"\u201dall":[177],"vs":[178],"all\u201d":[179],"fashion.":[180],"achieves":[183],"reliable":[184],"robust":[186],"on":[188],"two":[189],"image":[191],"datasets":[192],"well":[194],"MVTecAD":[197],"dataset,":[198],"surpass":[200],"comparable":[201],"anomaly":[202,206,228],"detection":[203,207],"performance.":[208],"We":[209],"also":[210],"implemented":[211],"generation":[214],"pipeline":[215],"render":[217],"remap":[227],"scores":[229],"back":[230],"those":[232],"use":[237],"full":[239],"potential":[240],"further":[246],"analysis.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}