{"id":"https://openalex.org/W4390187166","doi":"https://doi.org/10.1109/access.2023.3347033","title":"Enhancing LiDAR-Based Object Recognition Through a Novel Denoising and Modified GDANet Framework","display_name":"Enhancing LiDAR-Based Object Recognition Through a Novel Denoising and Modified GDANet Framework","publication_year":2023,"publication_date":"2023-12-25","ids":{"openalex":"https://openalex.org/W4390187166","doi":"https://doi.org/10.1109/access.2023.3347033"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3347033","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3347033","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10373872.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10373872.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081818092","display_name":"Oddy Virgantara Putra","orcid":"https://orcid.org/0000-0002-7472-9174"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]},{"id":"https://openalex.org/I4210123543","display_name":"University of Darussalam Gontor","ror":"https://ror.org/029tp8j70","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210123543"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Oddy Virgantara Putra","raw_affiliation_strings":["Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","Department of Informatics, Universitas Darussalam Gontor, Ponorogo, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-7472-9174","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]},{"raw_affiliation_string":"Department of Informatics, Universitas Darussalam Gontor, Ponorogo, Indonesia","institution_ids":["https://openalex.org/I4210123543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069435012","display_name":"Moch. Iskandar Riansyah","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Moch. Iskandar Riansyah","raw_affiliation_strings":["Department of Electrical Engineering, Institut Teknologi Telkom Surabaya, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Institut Teknologi Telkom Surabaya, Surabaya, Indonesia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049365076","display_name":"Farah Zakiyah Rahmanti","orcid":"https://orcid.org/0000-0003-1827-5857"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Farah Zakiyah Rahmanti","raw_affiliation_strings":["Department of Electrical Engineering, Institut Teknologi Telkom Surabaya, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Institut Teknologi Telkom Surabaya, Surabaya, Indonesia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034130467","display_name":"Ardyono Priyadi","orcid":"https://orcid.org/0000-0002-3809-2831"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Ardyono Priyadi","raw_affiliation_strings":["Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-3809-2831","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112670390","display_name":"Diah Puspito Wulandari","orcid":null},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Diah Puspito Wulandari","raw_affiliation_strings":["Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009416329","display_name":"Kohichi Ogata","orcid":"https://orcid.org/0000-0002-8116-0756"},"institutions":[{"id":"https://openalex.org/I96036126","display_name":"Kumamoto University","ror":"https://ror.org/02cgss904","country_code":"JP","type":"education","lineage":["https://openalex.org/I96036126"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kohichi Ogata","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, Kumamoto University, Kumamoto, Japan"],"raw_orcid":"https://orcid.org/0000-0002-8116-0756","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, Kumamoto University, Kumamoto, Japan","institution_ids":["https://openalex.org/I96036126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036919699","display_name":"Eko Mulyanto Yuniarno","orcid":"https://orcid.org/0000-0003-1243-3025"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Eko Mulyanto Yuniarno","raw_affiliation_strings":["Department of Computer Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"raw_orcid":"https://orcid.org/0000-0003-1243-3025","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012595591","display_name":"Mauridhi Hery Purnomo","orcid":"https://orcid.org/0000-0002-6221-7382"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Mauridhi Hery Purnomo","raw_affiliation_strings":["Department of Computer Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-6221-7382","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.2447,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.89332528,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"12","issue":null,"first_page":"7285","last_page":"7297"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9962999820709229,"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":0.9962999820709229,"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":0.9927999973297119,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7822522521018982},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7803672552108765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7000742554664612},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.6519008874893188},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.6314731240272522},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.595265805721283},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49994754791259766},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4998486042022705},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.48809564113616943},{"id":"https://openalex.org/keywords/hausdorff-distance","display_name":"Hausdorff distance","score":0.47443854808807373},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46242326498031616},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4583768844604492},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.22099372744560242},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.19734367728233337}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7822522521018982},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7803672552108765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7000742554664612},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.6519008874893188},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6314731240272522},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.595265805721283},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49994754791259766},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4998486042022705},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.48809564113616943},{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.47443854808807373},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46242326498031616},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4583768844604492},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.22099372744560242},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.19734367728233337},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3347033","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3347033","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10373872.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5860008870234540b1bba1209bd52066","is_oa":true,"landing_page_url":"https://doaj.org/article/5860008870234540b1bba1209bd52066","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 7285-7297 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3347033","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3347033","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10373872.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320328515","display_name":"Lembaga Pengelola Dana Pendidikan","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390187166.pdf","grobid_xml":"https://content.openalex.org/works/W4390187166.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W2115579991","https://openalex.org/W2125188192","https://openalex.org/W2560609797","https://openalex.org/W2590396511","https://openalex.org/W2594519801","https://openalex.org/W2737444374","https://openalex.org/W2906788812","https://openalex.org/W2965945478","https://openalex.org/W2979750740","https://openalex.org/W3000171824","https://openalex.org/W3012015905","https://openalex.org/W3013742767","https://openalex.org/W3028190301","https://openalex.org/W3036708415","https://openalex.org/W3036875645","https://openalex.org/W3045580667","https://openalex.org/W3049279742","https://openalex.org/W3082942970","https://openalex.org/W3094797692","https://openalex.org/W3097718484","https://openalex.org/W3122628962","https://openalex.org/W3136022415","https://openalex.org/W3172363814","https://openalex.org/W3173823845","https://openalex.org/W3174510152","https://openalex.org/W3178544809","https://openalex.org/W3192639358","https://openalex.org/W4214721726","https://openalex.org/W4226335479","https://openalex.org/W4282823228","https://openalex.org/W4289890900","https://openalex.org/W4297095250","https://openalex.org/W4300002374","https://openalex.org/W4302774246","https://openalex.org/W4312564991","https://openalex.org/W4321014138","https://openalex.org/W4365129126","https://openalex.org/W4386103395","https://openalex.org/W6744580074","https://openalex.org/W6748581759","https://openalex.org/W6790453339","https://openalex.org/W6810471115"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2120056845","https://openalex.org/W2115214301","https://openalex.org/W1981531423","https://openalex.org/W2070318884","https://openalex.org/W1679012645","https://openalex.org/W2011939812","https://openalex.org/W1977371217"],"abstract_inverted_index":{"Object":[0],"recognition":[1],"in":[2,54,141,152,192,200],"Point":[3,201],"Cloud":[4,202],"data":[5],"from":[6,78,93],"LiDAR":[7],"sensors":[8],"often":[9],"faces":[10],"challenges":[11,195],"like":[12],"noise,":[13,79],"clutter,":[14],"and":[15,25,38,57,65,123,132,143,175,179,198],"ground":[16],"interference,":[17],"significantly":[18],"affecting":[19],"tasks":[20],"such":[21],"as":[22,59],"segmentation,":[23],"classification,":[24],"detection.":[26],"To":[27],"address":[28],"these":[29],"issues,":[30],"we":[31],"introduced":[32],"a":[33,36,39,51,60,102,158],"framework":[34,191],"comprising":[35],"denoiser":[37,49,95,148],"classifier,":[40,100],"enhancing":[41],"the":[42,66,81,86,94,99,147,153,163,187,194],"robustness":[43],"of":[44,160,173,189,196],"LiDAR-based":[45,206],"object":[46,207],"recognition.":[47,208],"The":[48,91],"plays":[50],"crucial":[52,89],"role":[53],"noise":[55,197],"mitigation":[56],"operates":[58],"two-part":[61],"system,":[62],"utilizing":[63],"ScoreNet":[64,69],"Guided":[67,82],"Filter.":[68],"employs":[70],"advanced":[71],"scoring":[72],"techniques":[73],"to":[74,111],"separate":[75],"valuable":[76],"information":[77],"while":[80],"Filter":[83],"further":[84],"refines":[85],"data,":[87,203],"preserving":[88],"details.":[90],"output":[92],"seamlessly":[96],"feeds":[97],"into":[98],"leveraging":[101],"modified":[103],"GDANet":[104],"architecture":[105],"with":[106,128,146],"depthwise":[107],"overparameterized":[108],"convolution":[109],"(DOConv)":[110],"capture":[112],"intricate":[113],"features.":[114],"We":[115],"evaluated":[116],"our":[117,190],"approach":[118],"using":[119],"Point-to-Point,":[120],"Hausdorff":[121,154],"distance,":[122],"Accuracy":[124],"metrics,":[125],"comparing":[126],"it":[127],"other":[129,166],"denoising":[130,142],"methods":[131],"point":[133,167],"cloud":[134,168],"classifiers.":[135],"Our":[136],"models":[137],"demonstrated":[138],"significant":[139],"improvements":[140],"classification":[144],"tasks,":[145],"achieving":[149,170],"outstanding":[150],"results":[151],"Distance":[155],"metric,":[156],"reaching":[157],"score":[159],"0.177.":[161],"Simultaneously,":[162],"classifier":[164],"outperformed":[165],"classifiers,":[169],"accuracy":[171],"scores":[172],"90.7%":[174],"96.7%":[176],"for":[177],"ModelNet40-C":[178],"Human":[180],"Pose":[181],"Dataset,":[182],"respectively.":[183],"These":[184],"achievements":[185],"underscore":[186],"importance":[188],"addressing":[193],"clutter":[199],"ultimately":[204],"advancing":[205]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
