{"id":"https://openalex.org/W3082016231","doi":"https://doi.org/10.1109/med48518.2020.9182792","title":"A Data-Driven Slip Estimation Approach for Effective Braking Control under Varying Road Conditions","display_name":"A Data-Driven Slip Estimation Approach for Effective Braking Control under Varying Road Conditions","publication_year":2020,"publication_date":"2020-09-01","ids":{"openalex":"https://openalex.org/W3082016231","doi":"https://doi.org/10.1109/med48518.2020.9182792","mag":"3082016231"},"language":"en","primary_location":{"id":"doi:10.1109/med48518.2020.9182792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/med48518.2020.9182792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th Mediterranean Conference on Control and Automation (MED)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2211.02558","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081201069","display_name":"Francesco Crocetti","orcid":"https://orcid.org/0000-0001-9134-8368"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"F. Crocetti","raw_affiliation_strings":["Department of Engineering, University of Perugia, Via G. Duranti, 93, Perugia, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Perugia, Via G. Duranti, 93, Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016925926","display_name":"Gabriele Costante","orcid":"https://orcid.org/0000-0002-8417-9372"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"G. Costante","raw_affiliation_strings":["Department of Engineering, University of Perugia, Via G. Duranti, 93, Perugia, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Perugia, Via G. Duranti, 93, Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057733793","display_name":"Mario Luca Fravolini","orcid":"https://orcid.org/0000-0002-3104-8782"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"M.L. Fravolini","raw_affiliation_strings":["Department of Engineering, University of Perugia, Via G. Duranti, 93, Perugia, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Perugia, Via G. Duranti, 93, Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066104170","display_name":"Paolo Valigi","orcid":"https://orcid.org/0000-0002-0486-7678"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"P. Valigi","raw_affiliation_strings":["Department of Engineering, University of Perugia, Via G. Duranti, 93, Perugia, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Perugia, Via G. Duranti, 93, Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081201069"],"corresponding_institution_ids":["https://openalex.org/I27483092"],"apc_list":null,"apc_paid":null,"fwci":0.2032,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54730445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"496","last_page":"501"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10805","display_name":"Vehicle Dynamics and Control Systems","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10805","display_name":"Vehicle Dynamics and Control Systems","score":1.0,"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"}},{"id":"https://openalex.org/T11372","display_name":"Hydraulic and Pneumatic Systems","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11978","display_name":"Soil Mechanics and Vehicle Dynamics","score":0.991599977016449,"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/slip","display_name":"Slip (aerodynamics)","score":0.6893825531005859},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6200843453407288},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5854145884513855},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5375461578369141},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.5322102904319763},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.4439697861671448},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.37718328833580017},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.3747609853744507},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.35071688890457153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22415876388549805},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.22377517819404602}],"concepts":[{"id":"https://openalex.org/C195268267","wikidata":"https://www.wikidata.org/wiki/Q1928883","display_name":"Slip (aerodynamics)","level":2,"score":0.6893825531005859},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6200843453407288},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5854145884513855},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5375461578369141},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.5322102904319763},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.4439697861671448},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.37718328833580017},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3747609853744507},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.35071688890457153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22415876388549805},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.22377517819404602},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/med48518.2020.9182792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/med48518.2020.9182792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th Mediterranean Conference on Control and Automation (MED)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2211.02558","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.02558","pdf_url":"https://arxiv.org/pdf/2211.02558","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2211.02558","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2211.02558","pdf_url":"https://arxiv.org/pdf/2211.02558","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1544034765","https://openalex.org/W1663973292","https://openalex.org/W1964565648","https://openalex.org/W2009086942","https://openalex.org/W2015614033","https://openalex.org/W2026807004","https://openalex.org/W2037740379","https://openalex.org/W2039539088","https://openalex.org/W2049532088","https://openalex.org/W2054517929","https://openalex.org/W2072496911","https://openalex.org/W2081496799","https://openalex.org/W2082947201","https://openalex.org/W2083204253","https://openalex.org/W2087202281","https://openalex.org/W2119133546","https://openalex.org/W2143752115","https://openalex.org/W2486908081","https://openalex.org/W2568283272","https://openalex.org/W2586472110","https://openalex.org/W2613420840","https://openalex.org/W2765979093","https://openalex.org/W2794806258","https://openalex.org/W2799724138","https://openalex.org/W2806253579","https://openalex.org/W2900586385","https://openalex.org/W2904435516","https://openalex.org/W3030562258","https://openalex.org/W4252199061","https://openalex.org/W6755860762"],"related_works":["https://openalex.org/W4229448053","https://openalex.org/W4247925126","https://openalex.org/W4327774218","https://openalex.org/W2059768187","https://openalex.org/W4312858960","https://openalex.org/W4386036939","https://openalex.org/W4379143281","https://openalex.org/W2605096541","https://openalex.org/W3200286695","https://openalex.org/W1988250161"],"abstract_inverted_index":{"The":[0,46,70,86,124],"performances":[1,89],"of":[2,31,36,42,48,90,99],"braking":[3],"control":[4,44,104],"systems":[5],"for":[6],"robotic":[7],"platforms,":[8],"e.g.,":[9],"assisted":[10],"and":[11,15,127],"autonomous":[12],"vehicles,":[13],"airplanes":[14],"drones,":[16],"are":[17,94,106],"deeply":[18],"influenced":[19],"by":[20],"the":[21,26,29,40,53,91,110,115,122,128,137],"road-tire":[22],"friction":[23,84],"experienced":[24],"during":[25],"maneuver.":[27],"Therefore,":[28],"availability":[30],"accurate":[32],"estimation":[33,54,60],"algorithms":[34],"is":[35,51,62,72,119],"major":[37],"importance":[38],"in":[39,96],"development":[41],"advanced":[43],"schemes.":[45],"focus":[47],"this":[49],"paper":[50],"on":[52,65,74],"problem.":[55],"In":[56],"particular,":[57],"a":[58,66,75,81,97,131],"novel":[59],"algorithm":[61,93],"proposed,":[63],"based":[64,73,133],"multi-layer":[67],"neural":[68],"network.":[69],"training":[71],"synthetic":[76],"data":[77],"set,":[78],"derived":[79],"from":[80],"widely":[82],"used":[83,107,120],"model.":[85],"open":[87],"loop":[88,112],"proposed":[92,138],"evaluated":[95],"number":[98],"simulated":[100],"scenarios.":[101],"Moreover,":[102],"different":[103],"schemes":[105],"to":[108],"test":[109],"closed":[111],"scenario,":[113],"where":[114],"estimated":[116],"optimal":[117],"slip":[118,145],"as":[121],"set-point.":[123],"experimental":[125],"results":[126],"comparison":[129],"with":[130],"model":[132],"baseline":[134],"show":[135],"that":[136],"approach":[139],"can":[140],"provide":[141],"an":[142],"effective":[143],"best":[144],"estimation.":[146]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}