{"id":"https://openalex.org/W2096127471","doi":"https://doi.org/10.1007/978-3-642-39094-4_16","title":"Predicting Aquaplaning Performance from Tyre Profile Images with Machine Learning","display_name":"Predicting Aquaplaning Performance from Tyre Profile Images with Machine Learning","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2096127471","doi":"https://doi.org/10.1007/978-3-642-39094-4_16","mag":"2096127471"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-39094-4_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-39094-4_16","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"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/A5018493892","display_name":"Tillman Weyde","orcid":"https://orcid.org/0000-0001-8028-9905"},"institutions":[{"id":"https://openalex.org/I180825142","display_name":"City, University of London","ror":"https://ror.org/04489at23","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I180825142"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tillman Weyde","raw_affiliation_strings":["City University London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University London, UK","institution_ids":["https://openalex.org/I180825142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037886447","display_name":"Greg Slabaugh","orcid":"https://orcid.org/0000-0003-4060-5226"},"institutions":[{"id":"https://openalex.org/I180825142","display_name":"City, University of London","ror":"https://ror.org/04489at23","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I180825142"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gregory Slabaugh","raw_affiliation_strings":["City University London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University London, UK","institution_ids":["https://openalex.org/I180825142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040338641","display_name":"Gauthier Fontaine","orcid":null},"institutions":[{"id":"https://openalex.org/I201181511","display_name":"\u00c9cole Nationale Sup\u00e9rieure de Techniques Avanc\u00e9es","ror":"https://ror.org/0309cs235","country_code":"FR","type":"education","lineage":["https://openalex.org/I201181511","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gauthier Fontaine","raw_affiliation_strings":["ENSTA Paristech, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ENSTA Paristech, France","institution_ids":["https://openalex.org/I201181511"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088844917","display_name":"C. Bederna","orcid":null},"institutions":[{"id":"https://openalex.org/I147869694","display_name":"Continental (Germany)","ror":"https://ror.org/0359s0245","country_code":"DE","type":"company","lineage":["https://openalex.org/I147869694"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Bederna","raw_affiliation_strings":["Continental AG, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Continental AG, Germany","institution_ids":["https://openalex.org/I147869694"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"133","last_page":"142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9735999703407288,"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"}},"topics":[{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9735999703407288,"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"}},{"id":"https://openalex.org/T10264","display_name":"Asphalt Pavement Performance Evaluation","score":0.9628000259399414,"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/tread","display_name":"Tread","score":0.9663368463516235},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6685339212417603},{"id":"https://openalex.org/keywords/stiffness","display_name":"Stiffness","score":0.5365540981292725},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4490646421909332},{"id":"https://openalex.org/keywords/road-surface","display_name":"Road surface","score":0.44413551688194275},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44036421179771423},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3849792182445526},{"id":"https://openalex.org/keywords/natural-rubber","display_name":"Natural rubber","score":0.36295002698898315},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.20394045114517212},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16674113273620605},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.1239786446094513},{"id":"https://openalex.org/keywords/civil-engineering","display_name":"Civil engineering","score":0.08936449885368347},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.07066681981086731}],"concepts":[{"id":"https://openalex.org/C155296804","wikidata":"https://www.wikidata.org/wiki/Q30329684","display_name":"Tread","level":3,"score":0.9663368463516235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6685339212417603},{"id":"https://openalex.org/C2779372316","wikidata":"https://www.wikidata.org/wiki/Q569057","display_name":"Stiffness","level":2,"score":0.5365540981292725},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4490646421909332},{"id":"https://openalex.org/C2780042925","wikidata":"https://www.wikidata.org/wiki/Q1049667","display_name":"Road surface","level":2,"score":0.44413551688194275},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44036421179771423},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3849792182445526},{"id":"https://openalex.org/C176933379","wikidata":"https://www.wikidata.org/wiki/Q131877","display_name":"Natural rubber","level":2,"score":0.36295002698898315},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.20394045114517212},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16674113273620605},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1239786446094513},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.08936449885368347},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.07066681981086731},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-642-39094-4_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-39094-4_16","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:openaccess.city.ac.uk:2753","is_oa":false,"landing_page_url":"https://openaccess.city.ac.uk/view/creators_id/t=2Ee=2Eweyde.html>,","pdf_url":null,"source":{"id":"https://openalex.org/S4306401940","display_name":"City Research Online (City University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I180825142","host_organization_name":"City, University of London","host_organization_lineage":["https://openalex.org/I180825142"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1554663460","https://openalex.org/W2034295546","https://openalex.org/W2040649920","https://openalex.org/W2065180801","https://openalex.org/W2067273358","https://openalex.org/W2108146547","https://openalex.org/W2316478175","https://openalex.org/W3122943284","https://openalex.org/W3125261624","https://openalex.org/W3207342693","https://openalex.org/W4300402905"],"related_works":["https://openalex.org/W2380565719","https://openalex.org/W4245120198","https://openalex.org/W1598269750","https://openalex.org/W2377540451","https://openalex.org/W2381037467","https://openalex.org/W2382217072","https://openalex.org/W3006322628","https://openalex.org/W2895293979","https://openalex.org/W2057545893","https://openalex.org/W4383339996"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
