{"id":"https://openalex.org/W4409150049","doi":"https://doi.org/10.1145/3690624.3709436","title":"Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence","display_name":"Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence","publication_year":2025,"publication_date":"2025-04-04","ids":{"openalex":"https://openalex.org/W4409150049","doi":"https://doi.org/10.1145/3690624.3709436"},"language":"en","primary_location":{"id":"doi:10.1145/3690624.3709436","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3690624.3709436","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3690624.3709436","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhan Qu","orcid":"https://orcid.org/0009-0003-8753-8224"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]},{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Zhan Qu","raw_affiliation_strings":["Karlsruhe Institute of Technology, Karlsruhe, Germany, ScaDS.AI, Dresden, Germany, & TU Dresden, Dresden, Germany"],"raw_orcid":"https://orcid.org/0009-0003-8753-8224","affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Karlsruhe, Germany, ScaDS.AI, Dresden, Germany, & TU Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I102335020","https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008824325","display_name":"Shuzhou Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Shuzhou Yuan","raw_affiliation_strings":["ScaDS.AI, Dresden, Germany & TU Dresden, Dresden, Germany"],"raw_orcid":"https://orcid.org/0009-0005-8862-6992","affiliations":[{"raw_affiliation_string":"ScaDS.AI, Dresden, Germany & TU Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031600582","display_name":"Michael F\u00e4rber","orcid":"https://orcid.org/0000-0001-5458-8645"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael F\u00e4rber","raw_affiliation_strings":["ScaDS.AI, Dresden, Germany & TU Dresden, Dresden, Germany"],"raw_orcid":"https://orcid.org/0000-0001-5458-8645","affiliations":[{"raw_affiliation_string":"ScaDS.AI, Dresden, Germany & TU Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116907174","display_name":"Marius Brennfleck","orcid":null},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marius Brennfleck","raw_affiliation_strings":["Karlsruhe Institute of Technology, Karlsruhe, Germany"],"raw_orcid":"https://orcid.org/0009-0001-4713-559X","affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052008156","display_name":"Niklas Wartha","orcid":"https://orcid.org/0000-0002-9672-2360"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]},{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Niklas Wartha","raw_affiliation_strings":["Institute of Atmospheric Physics, German Aerospace Center, Oberpfaffenhofen, Germany & RWTH Aachen University, Aachen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-9672-2360","affiliations":[{"raw_affiliation_string":"Institute of Atmospheric Physics, German Aerospace Center, Oberpfaffenhofen, Germany & RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I2898391981","https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109891589","display_name":"Anton Stephan","orcid":null},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anton Stephan","raw_affiliation_strings":["Institute of Atmospheric Physics, German Aerospace Center, Oberpfaffenhofen, Germany"],"raw_orcid":"https://orcid.org/0009-0002-6721-3732","affiliations":[{"raw_affiliation_string":"Institute of Atmospheric Physics, German Aerospace Center, Oberpfaffenhofen, Germany","institution_ids":["https://openalex.org/I2898391981"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05766967,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2504","last_page":"2513"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9957000017166138,"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":0.9957000017166138,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9779999852180481,"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"}},{"id":"https://openalex.org/T12125","display_name":"Aerospace and Aviation Technology","score":0.9764000177383423,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/airplane","display_name":"Airplane","score":0.8118469715118408},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7581563591957092},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6699580550193787},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6225128769874573},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5546150803565979},{"id":"https://openalex.org/keywords/turbulence","display_name":"Turbulence","score":0.5053141713142395},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4866224229335785},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.47295328974723816},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4323859214782715},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.34786456823349},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2781168222427368},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.25978583097457886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22700077295303345},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17464065551757812},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11763551831245422}],"concepts":[{"id":"https://openalex.org/C2781407631","wikidata":"https://www.wikidata.org/wiki/Q197","display_name":"Airplane","level":2,"score":0.8118469715118408},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7581563591957092},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6699580550193787},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6225128769874573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5546150803565979},{"id":"https://openalex.org/C196558001","wikidata":"https://www.wikidata.org/wiki/Q190132","display_name":"Turbulence","level":2,"score":0.5053141713142395},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4866224229335785},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.47295328974723816},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4323859214782715},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.34786456823349},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2781168222427368},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.25978583097457886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22700077295303345},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17464065551757812},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11763551831245422},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3690624.3709436","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3690624.3709436","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","raw_type":"proceedings-article"},{"id":"pmh:oai:elib.dlr.de:215725","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3690624.3709436>.","pdf_url":"https://elib.dlr.de/215725/1/3690624.3709436.pdf","source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Konferenzbeitrag"}],"best_oa_location":{"id":"doi:10.1145/3690624.3709436","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3690624.3709436","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W159739185","https://openalex.org/W2004156992","https://openalex.org/W2016381774","https://openalex.org/W2024789173","https://openalex.org/W2024824443","https://openalex.org/W2112796928","https://openalex.org/W2124843091","https://openalex.org/W2414934037","https://openalex.org/W2606462007","https://openalex.org/W2790827688","https://openalex.org/W2910642513","https://openalex.org/W2959908836","https://openalex.org/W2963037989","https://openalex.org/W2979750740","https://openalex.org/W2982104318","https://openalex.org/W3024728050","https://openalex.org/W3035236086","https://openalex.org/W3039448353","https://openalex.org/W3044996497","https://openalex.org/W3101609372","https://openalex.org/W3120371278","https://openalex.org/W3183916535","https://openalex.org/W3184129168","https://openalex.org/W3199138517","https://openalex.org/W3215426783","https://openalex.org/W4206364477","https://openalex.org/W4210327135","https://openalex.org/W4221078763","https://openalex.org/W4283124094","https://openalex.org/W4389415517","https://openalex.org/W6777715687"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W4406302447","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W3021491005","https://openalex.org/W1986118872","https://openalex.org/W4293094720","https://openalex.org/W2739701376","https://openalex.org/W4399442168","https://openalex.org/W2114282491"],"abstract_inverted_index":{"Wake":[0],"vortices-strong,":[1],"coherent":[2],"air":[3,95],"turbulences":[4],"created":[5],"by":[6],"aircrafts-pose":[7],"a":[8,49,59,84],"significant":[9],"risk":[10],"to":[11,57],"aviation":[12,142],"safety":[13,143],"and":[14,18,37,98,102,111,123,133,151],"therefore":[15],"require":[16],"accurate":[17],"reliable":[19],"detection":[20],"methods.":[21],"In":[22],"this":[23],"paper,":[24],"we":[25],"present":[26],"an":[27],"advanced,":[28],"explainable":[29],"machine":[30],"learning":[31],"method":[32,47],"that":[33,146],"utilizes":[34],"Light":[35],"Detection":[36],"Ranging":[38],"(LiDAR)":[39],"data":[40],"for":[41,94,135],"effective":[42,150],"wake":[43,137],"vortex":[44,138],"detection.":[45],"Our":[46,105],"leverages":[48],"dynamic":[50],"graph":[51],"CNN":[52],"(DGCNN)":[53],"with":[54],"semantic":[55,131],"segmentation":[56,132],"partition":[58],"3D":[60],"LiDAR":[61,113],"point":[62],"cloud":[63],"into":[64],"meaningful":[65],"segments.":[66],"Further":[67],"refinement":[68],"is":[69,80],"achieved":[70],"through":[71],"clustering":[72,134],"techniques.":[73],"A":[74],"novel":[75],"feature":[76],"of":[77,83,125,130],"our":[78,126],"research":[79],"the":[81,90,121],"use":[82],"perturbation-based":[85],"explanation":[86],"technique,":[87],"which":[88],"clarifies":[89],"model's":[91],"decision-making":[92],"processes":[93],"traffic":[96],"regulators":[97],"controllers,":[99],"increasing":[100],"transparency":[101],"building":[103],"trust.":[104],"experimental":[106],"results,":[107],"based":[108],"on":[109],"measured":[110],"simulated":[112],"scans":[114],"compared":[115],"against":[116],"four":[117],"baseline":[118],"methods,":[119],"underscore":[120],"effectiveness":[122],"reliability":[124],"approach.":[127],"This":[128],"combination":[129],"real-time":[136],"tracking":[139],"significantly":[140],"advances":[141],"measures,":[144],"ensuring":[145],"these":[147],"are":[148],"both":[149],"comprehensible.":[152]},"counts_by_year":[],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}