{"id":"https://openalex.org/W2608590384","doi":"https://doi.org/10.1109/icpr.2016.7900155","title":"Crossmodal point cloud registration in the Hough space for mobile laser scanning data","display_name":"Crossmodal point cloud registration in the Hough space for mobile laser scanning data","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2608590384","doi":"https://doi.org/10.1109/icpr.2016.7900155","mag":"2608590384"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7900155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5033244367","display_name":"Bence G\u00e1lai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117195","display_name":"HUN-REN Institute for Computer Science and Control","ror":"https://ror.org/0249v7n71","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210117195","https://openalex.org/I4387152226"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Bence Galai","raw_affiliation_strings":["Distributed Events Analysis Research Laboratory, Institute for Computer Science and Control, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Distributed Events Analysis Research Laboratory, Institute for Computer Science and Control, Budapest, Hungary","institution_ids":["https://openalex.org/I4210117195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037066482","display_name":"Bal\u00e1zs Nagy","orcid":"https://orcid.org/0000-0003-0338-863X"},"institutions":[{"id":"https://openalex.org/I31882830","display_name":"P\u00e1zm\u00e1ny P\u00e9ter Catholic University","ror":"https://ror.org/05v9kya57","country_code":"HU","type":"education","lineage":["https://openalex.org/I31882830"]},{"id":"https://openalex.org/I4210117195","display_name":"HUN-REN Institute for Computer Science and Control","ror":"https://ror.org/0249v7n71","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210117195","https://openalex.org/I4387152226"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Balazs Nagy","raw_affiliation_strings":["Distributed Events Analysis Research Laboratory, Institute for Computer Science and Control, Budapest, Hungary","P\u00e9ter P\u00e1zm\u00e1ny Catholic University, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Distributed Events Analysis Research Laboratory, Institute for Computer Science and Control, Budapest, Hungary","institution_ids":["https://openalex.org/I4210117195"]},{"raw_affiliation_string":"P\u00e9ter P\u00e1zm\u00e1ny Catholic University, Budapest, Hungary","institution_ids":["https://openalex.org/I31882830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044638075","display_name":"Csaba Benedek","orcid":"https://orcid.org/0000-0003-3203-0741"},"institutions":[{"id":"https://openalex.org/I31882830","display_name":"P\u00e1zm\u00e1ny P\u00e9ter Catholic University","ror":"https://ror.org/05v9kya57","country_code":"HU","type":"education","lineage":["https://openalex.org/I31882830"]},{"id":"https://openalex.org/I4210117195","display_name":"HUN-REN Institute for Computer Science and Control","ror":"https://ror.org/0249v7n71","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210117195","https://openalex.org/I4387152226"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Csaba Benedek","raw_affiliation_strings":["Distributed Events Analysis Research Laboratory, Institute for Computer Science and Control, Budapest, Hungary","P\u00e9ter P\u00e1zm\u00e1ny Catholic University, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Distributed Events Analysis Research Laboratory, Institute for Computer Science and Control, Budapest, Hungary","institution_ids":["https://openalex.org/I4210117195"]},{"raw_affiliation_string":"P\u00e9ter P\u00e1zm\u00e1ny Catholic University, Budapest, Hungary","institution_ids":["https://openalex.org/I31882830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"8926","issue":null,"first_page":"3374","last_page":"3379"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9990000128746033,"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":0.8387902975082397},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7584412693977356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7111653089523315},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7011300325393677},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.6939793229103088},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.5817270874977112},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5472204685211182},{"id":"https://openalex.org/keywords/laser-scanning","display_name":"Laser scanning","score":0.5236197113990784},{"id":"https://openalex.org/keywords/mobile-mapping","display_name":"Mobile mapping","score":0.5212972164154053},{"id":"https://openalex.org/keywords/laser","display_name":"Laser","score":0.16345354914665222},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11477059125900269}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8387902975082397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7584412693977356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7111653089523315},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7011300325393677},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.6939793229103088},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.5817270874977112},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5472204685211182},{"id":"https://openalex.org/C141349535","wikidata":"https://www.wikidata.org/wiki/Q1361664","display_name":"Laser scanning","level":3,"score":0.5236197113990784},{"id":"https://openalex.org/C2776821279","wikidata":"https://www.wikidata.org/wiki/Q2293902","display_name":"Mobile mapping","level":3,"score":0.5212972164154053},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.16345354914665222},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11477059125900269},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icpr.2016.7900155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:real.mtak.hu:85686","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400081","display_name":"Repository of the Academy's Library (Library of the Hungarian Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210140733","host_organization_name":"Library and Information Centre of the Hungarian Academy of Sciences","host_organization_lineage":["https://openalex.org/I4210140733"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:eprints.sztaki.hu:9013","is_oa":false,"landing_page_url":"http://eprints.sztaki.hu/9013/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401907","display_name":"SZTAKI Publication Repository (Hungarian Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I7597260","host_organization_name":"Hungarian Academy of Sciences","host_organization_lineage":["https://openalex.org/I7597260"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Book Section"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8100000023841858,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1650975994","https://openalex.org/W2023513943","https://openalex.org/W2050690116","https://openalex.org/W2059348238","https://openalex.org/W2101576074","https://openalex.org/W2110662799","https://openalex.org/W2118104180","https://openalex.org/W2132360065","https://openalex.org/W2145297702","https://openalex.org/W2148823327","https://openalex.org/W2159029220","https://openalex.org/W2291440935"],"related_works":["https://openalex.org/W2088131065","https://openalex.org/W2005998065","https://openalex.org/W2001220299","https://openalex.org/W4323518558","https://openalex.org/W3039299368","https://openalex.org/W3196715007","https://openalex.org/W2366440988","https://openalex.org/W4399030596","https://openalex.org/W2358582870","https://openalex.org/W3083006002"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5,106],"general":[6],"approach":[7],"for":[8,59],"registration":[9,89],"of":[10,66,117],"point":[11,51],"clouds":[12,52],"obtained":[13],"by":[14,54],"various":[15],"mobile":[16,55],"laser":[17],"scanning":[18],"technologies.":[19],"Our":[20],"method":[21],"is":[22],"able":[23],"to":[24],"robustly":[25],"match":[26],"measurements":[27],"with":[28],"significantly":[29],"different":[30,97],"density":[31],"characteristic":[32],"including":[33],"the":[34,47,67,83],"sparse":[35],"and":[36,46,49,87,101,105,123,129],"inhomogeneous":[37],"instant":[38],"3D":[39],"(I3D)":[40],"data":[41],"taken":[42],"be":[43],"self-driving":[44],"cars,":[45],"dense":[48],"regular":[50],"captured":[53],"mapping":[56],"systems":[57],"(MMS)":[58],"virtual":[60],"city":[61],"generation.":[62],"The":[63],"core":[64],"steps":[65],"algorithm":[68],"are":[69,93,112],"robust":[70],"scan":[71],"segmentation,":[72],"abstract":[73],"street":[74],"object":[75,77],"extraction,":[76],"based":[78,132],"coarse":[79],"transformation":[80],"estimation":[81],"in":[82],"Hough":[84],"accumulator":[85],"space,":[86],"point-level":[88],"refinement.":[90],"Experimental":[91],"results":[92],"provided":[94],"using":[95],"three":[96],"sensors:":[98],"Velodyne":[99],"HDL64":[100],"VLP16":[102],"I3D":[103,122,134],"scanners,":[104],"Riegl":[107],"VMX450":[108],"MMS.":[109],"Application":[110],"examples":[111],"shown":[113],"regarding":[114],"self":[115],"localization":[116],"autonomous":[118],"cars":[119],"through":[120],"crossmodal":[121],"MMS":[124],"frame":[125],"registration,":[126],"IMU-less":[127],"SLAM":[128],"change":[130],"detection":[131],"on":[133],"data.":[135]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}