{"id":"https://openalex.org/W2016647566","doi":"https://doi.org/10.1109/itsc.2014.6958145","title":"Vehicle type classification from laser scans with global alignment kernels","display_name":"Vehicle type classification from laser scans with global alignment kernels","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2016647566","doi":"https://doi.org/10.1109/itsc.2014.6958145","mag":"2016647566"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2014.6958145","doi":"https://doi.org/10.1109/itsc.2014.6958145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2014.6958145","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"IEEE International Conference on Intelligent Transportation Systems (ITSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"17th International IEEE Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5046897413","display_name":"Boris Chidlovskii","orcid":"https://orcid.org/0000-0002-2958-2361","observed_orcids":["https://orcid.org/0000-0002-2958-2361"]},"institutions":[{"id":"https://openalex.org/I33976269","display_name":"Xerox (France)","ror":"https://ror.org/033q0mv79","country_code":"FR","type":"company","lineage":["https://openalex.org/I33976269","https://openalex.org/I4210132870"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Boris Chidlovskii","raw_affiliation_strings":["Xerox Research Centre Europe, Meylan, Frances","Xerox Research Centre Europe, F-38240 Meylan, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xerox Research Centre Europe, Meylan, Frances","institution_ids":["https://openalex.org/I33976269"]},{"raw_affiliation_string":"Xerox Research Centre Europe, F-38240 Meylan, France","institution_ids":["https://openalex.org/I33976269"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109475590","display_name":"Gabriela Csurka","orcid":"https://orcid.org/0009-0005-1067-1056","observed_orcids":["https://orcid.org/0009-0005-1067-1056"]},"institutions":[{"id":"https://openalex.org/I33976269","display_name":"Xerox (France)","ror":"https://ror.org/033q0mv79","country_code":"FR","type":"company","lineage":["https://openalex.org/I33976269","https://openalex.org/I4210132870"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gabriela Csurka","raw_affiliation_strings":["Xerox Research Centre Europe, Meylan, Frances","Xerox Research Centre Europe, F-38240 Meylan, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xerox Research Centre Europe, Meylan, Frances","institution_ids":["https://openalex.org/I33976269"]},{"raw_affiliation_string":"Xerox Research Centre Europe, F-38240 Meylan, France","institution_ids":["https://openalex.org/I33976269"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028150113","display_name":"Jos\u00e9 A. Rodr\u00edguez-Serrano","orcid":"https://orcid.org/0009-0005-0239-8117","observed_orcids":["https://orcid.org/0009-0005-0239-8117"]},"institutions":[{"id":"https://openalex.org/I33976269","display_name":"Xerox (France)","ror":"https://ror.org/033q0mv79","country_code":"FR","type":"company","lineage":["https://openalex.org/I33976269","https://openalex.org/I4210132870"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jose Rodriguez-Serrano","raw_affiliation_strings":["Xerox Research Centre Europe, Meylan, Frances","Xerox Research Centre Europe, F-38240 Meylan, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xerox Research Centre Europe, Meylan, Frances","institution_ids":["https://openalex.org/I33976269"]},{"raw_affiliation_string":"Xerox Research Centre Europe, F-38240 Meylan, France","institution_ids":["https://openalex.org/I33976269"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I33976269"],"apc_list":null,"apc_paid":null,"fwci":0.1745,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.42044581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2840","last_page":"2845"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.17399999499320984,"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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.17399999499320984,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.12290000170469284,"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"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.10369999706745148,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/vehicle-classification","display_name":"vehicle classification","score":0.8389999866485596},{"id":"https://openalex.org/keywords/electronic-tolling","display_name":"electronic tolling","score":0.8960000276565552},{"id":"https://openalex.org/keywords/feature-descriptors","display_name":"feature descriptors","score":0.5360000133514404}],"concepts":[{"id":"https://openalex.org/C141349535","wikidata":"https://www.wikidata.org/wiki/Q1361664","display_name":"Laser scanning","level":3,"score":0.8044719099998474},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.800101637840271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7584538459777832},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.675123393535614},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6477586030960083},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6394087076187134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.603680431842804},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5938220620155334},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48346978425979614},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.25101208686828613},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1101977527141571},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/itsc.2014.6958145","doi":"https://doi.org/10.1109/itsc.2014.6958145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2014.6958145","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"IEEE International Conference on Intelligent Transportation Systems (ITSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"17th International IEEE Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.724.7884","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.724.7884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.xrce.xerox.com/content/download/38135/430981/file/2014-043.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W152645600","https://openalex.org/W180958806","https://openalex.org/W1496169742","https://openalex.org/W1968414728","https://openalex.org/W2026519712","https://openalex.org/W2030359906","https://openalex.org/W2050338028","https://openalex.org/W2090860576","https://openalex.org/W2091491470","https://openalex.org/W2095613246","https://openalex.org/W2119872036","https://openalex.org/W2121973001","https://openalex.org/W2124958607","https://openalex.org/W2132461991","https://openalex.org/W2137686279","https://openalex.org/W2144994235","https://openalex.org/W2148264377","https://openalex.org/W2148522575","https://openalex.org/W2160978182","https://openalex.org/W2189007323"],"related_works":["https://openalex.org/W2090860576","https://openalex.org/W623642422","https://openalex.org/W2113799686","https://openalex.org/W582856608","https://openalex.org/W46706195","https://openalex.org/W2095613246","https://openalex.org/W2376887083","https://openalex.org/W2058993693","https://openalex.org/W564978097","https://openalex.org/W2602707181"],"abstract_inverted_index":{"This":[0,70],"paper":[1,87],"addresses":[2],"the":[3,30,36,55,78,100,115],"problem":[4],"of":[5,19,29,66],"vehicle":[6,31,97,109],"classification":[7,65,80],"using":[8],"laser":[9,37,67,101],"scanner":[10,56,68],"profiles,":[11,57],"which":[12,93],"is":[13],"usually":[14],"found":[15],"as":[16,39,47],"a":[17,26,74,90],"component":[18],"electronic":[20],"tolling":[21],"systems.":[22],"Laser":[23],"scanners":[24],"obtain":[25],"3D":[27],"measurement":[28],"surface.":[32],"Previous":[33],"approaches":[34],"treated":[35],"scans":[38],"images.":[40],"In":[41,85],"addition":[42],"to":[43,72,77,106],"high-level":[44],"features":[45],"(such":[46],"width,":[48],"height,":[49],"length":[50],"and":[51,95,111],"other":[52],"measurements)":[53],"from":[54,99],"feature":[58],"descriptors":[59],"have":[60],"been":[61],"used":[62],"for":[63],"supervised":[64],"profiles.":[69],"allowed":[71],"deploy":[73],"generic":[75],"approach":[76,92],"image":[79],"based":[81],"on":[82],"Fisher":[83],"features.":[84],"this":[86],"we":[88],"adopt":[89],"different":[91],"extracts":[94],"analyses":[96],"shapes":[98,110],"scans.":[102],"The":[103],"method":[104],"proceeds":[105],"finding":[107],"typical":[108],"classifying":[112],"them":[113],"through":[114],"global":[116],"shape":[117],"alignment.":[118]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
