{"id":"https://openalex.org/W4283761117","doi":"https://doi.org/10.1109/i2mtc48687.2022.9806594","title":"Pavement Macrotexture Evaluation for Tire Test Benches using Surface Profile Measurements","display_name":"Pavement Macrotexture Evaluation for Tire Test Benches using Surface Profile Measurements","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4283761117","doi":"https://doi.org/10.1109/i2mtc48687.2022.9806594"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc48687.2022.9806594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc48687.2022.9806594","pdf_url":null,"source":{"id":"https://openalex.org/S4363607934","display_name":"2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"},"type":"article","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/A5040631097","display_name":"Johannes Handler","orcid":"https://orcid.org/0000-0003-4640-2462"},"institutions":[{"id":"https://openalex.org/I182712176","display_name":"Montanuniversit\u00e4t Leoben","ror":"https://ror.org/02fhfw393","country_code":"AT","type":"education","lineage":["https://openalex.org/I182712176"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Johannes Handler","raw_affiliation_strings":["University of Leoben,Chair of Automation,Leoben,Austria","Chair of Automation, University of Leoben, Leoben, Austria"],"affiliations":[{"raw_affiliation_string":"University of Leoben,Chair of Automation,Leoben,Austria","institution_ids":["https://openalex.org/I182712176"]},{"raw_affiliation_string":"Chair of Automation, University of Leoben, Leoben, Austria","institution_ids":["https://openalex.org/I182712176"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074869535","display_name":"Patrick O\u2019Leary","orcid":"https://orcid.org/0000-0002-6084-3734"},"institutions":[{"id":"https://openalex.org/I182712176","display_name":"Montanuniversit\u00e4t Leoben","ror":"https://ror.org/02fhfw393","country_code":"AT","type":"education","lineage":["https://openalex.org/I182712176"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Paul O'Leary","raw_affiliation_strings":["University of Leoben,Chair of Automation,Leoben,Austria","Chair of Automation, University of Leoben, Leoben, Austria"],"affiliations":[{"raw_affiliation_string":"University of Leoben,Chair of Automation,Leoben,Austria","institution_ids":["https://openalex.org/I182712176"]},{"raw_affiliation_string":"Chair of Automation, University of Leoben, Leoben, Austria","institution_ids":["https://openalex.org/I182712176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040631097"],"corresponding_institution_ids":["https://openalex.org/I182712176"],"apc_list":null,"apc_paid":null,"fwci":0.4127,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66690018,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.9986000061035156,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9983000159263611,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9937000274658203,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7868838310241699},{"id":"https://openalex.org/keywords/strips","display_name":"STRIPS","score":0.6873804330825806},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.5820593237876892},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5467275381088257},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.5332521796226501},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5176323056221008},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4661285877227783},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4647853374481201},{"id":"https://openalex.org/keywords/road-surface","display_name":"Road surface","score":0.4457917809486389},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42610329389572144},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22039291262626648},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21251550316810608},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1860736906528473}],"concepts":[{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7868838310241699},{"id":"https://openalex.org/C200925200","wikidata":"https://www.wikidata.org/wiki/Q7624170","display_name":"STRIPS","level":2,"score":0.6873804330825806},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.5820593237876892},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5467275381088257},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.5332521796226501},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5176323056221008},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4661285877227783},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4647853374481201},{"id":"https://openalex.org/C2780042925","wikidata":"https://www.wikidata.org/wiki/Q1049667","display_name":"Road surface","level":2,"score":0.4457917809486389},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42610329389572144},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22039291262626648},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21251550316810608},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1860736906528473},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc48687.2022.9806594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc48687.2022.9806594","pdf_url":null,"source":{"id":"https://openalex.org/S4363607934","display_name":"2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1488812937","https://openalex.org/W1644863801","https://openalex.org/W1816050019","https://openalex.org/W1997709480","https://openalex.org/W2069761103","https://openalex.org/W2109606373","https://openalex.org/W2142405938","https://openalex.org/W2150823344","https://openalex.org/W2167623131","https://openalex.org/W2181167367","https://openalex.org/W2192187929","https://openalex.org/W2316653434","https://openalex.org/W2416859178","https://openalex.org/W2476589870","https://openalex.org/W2485959710","https://openalex.org/W2496074920","https://openalex.org/W2799899505","https://openalex.org/W2960111189","https://openalex.org/W2965977619","https://openalex.org/W2968138089","https://openalex.org/W2979960739","https://openalex.org/W3156213753","https://openalex.org/W3175121763","https://openalex.org/W3197442592","https://openalex.org/W3202308201"],"related_works":["https://openalex.org/W2901417011","https://openalex.org/W4231339125","https://openalex.org/W2162386635","https://openalex.org/W3034924094","https://openalex.org/W3094954546","https://openalex.org/W2037849396","https://openalex.org/W1488708774","https://openalex.org/W1982811510","https://openalex.org/W4391100477","https://openalex.org/W2402189625"],"abstract_inverted_index":{"This":[0,72,135],"paper":[1,192],"presents":[2],"a":[3,62,67,83,181],"new":[4,26,146],"approach":[5],"to":[6,15,66,93,130,193],"evaluating":[7],"the":[8,20,36,40,53,56,70,74,77,99,110,116,126,131,141,149,153,157,170,173,191,195,198],"characteristics":[9],"of":[10,22,52,69,76,98,119,152,159,172,197],"structured":[11],"metal":[12],"strips":[13],"used":[14,92,189],"simulate":[16],"road":[17,127],"surfaces":[18],"during":[19],"testing":[21],"car":[23],"tires.":[24],"The":[25,43,113,145],"computation":[27,158],"procedure":[28],"yields":[29,58,137],"more":[30],"realistic":[31],"and":[32,85,162],"reliable":[33],"results":[34],"than":[35],"methods":[37],"proposed":[38,44,199],"in":[39,125],"ISO":[41],"13473-1.":[42],"virtual":[45],"volumetric":[46],"patch":[47,68],"method":[48],"(VVPM)":[49],"takes":[50],"advantage":[51],"fact":[54],"that":[55,121],"instrument":[57],"measurement":[59,176],"data":[60,177,186],"on":[61],"regular":[63],"grid,":[64],"corresponding":[65],"surface.":[71,174],"permits":[73],"implementation":[75],"primary":[78],"computations":[79],"as":[80],"tensors,":[81],"yielding":[82],"simple":[84],"numerically":[86],"efficient":[87],"solution.":[88],"Tensor":[89],"polynomials":[90],"are":[91],"eliminate":[94],"low":[95],"frequency":[96],"distortions":[97],"strip,":[100],"resulting":[101],"from":[102,180],"inner":[103],"tensions,":[104],"which":[105],"would":[106],"otherwise":[107],"negatively":[108],"influence":[109],"computed":[111],"characteristics.":[112],"VVPM":[114],"estimates":[115],"equivalent":[117],"volume":[118],"water":[120],"could":[122],"be":[123],"embedded":[124],"surface,":[128],"prior":[129],"surface":[132],"becoming":[133],"submerged.":[134],"also":[136,155],"an":[138],"estimate":[139],"for":[140],"true":[142],"texture":[143,160],"depth.":[144],"approach,":[147],"with":[148],"gridded":[150],"nature":[151],"data,":[154],"enables":[156],"randomness":[161],"coherence":[163],"wavelengths.":[164],"Yielding":[165],"additional":[166],"valuable":[167],"information":[168],"about":[169],"structure":[171],"Real-world":[175],"were":[178],"acquired":[179],"test":[182],"bench;":[183],"one":[184],"such":[185],"set":[187],"is":[188],"throughout":[190],"demonstrate":[194],"effectiveness":[196],"processing.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
