{"id":"https://openalex.org/W7080170668","doi":"https://doi.org/10.1109/metroautomotive64646.2025.11119249","title":"Simple Test Bench and Metrics for Analyzing and Comparing Lidars Performance in the Presence of Dust","display_name":"Simple Test Bench and Metrics for Analyzing and Comparing Lidars Performance in the Presence of Dust","publication_year":2025,"publication_date":"2025-06-25","ids":{"openalex":"https://openalex.org/W7080170668","doi":"https://doi.org/10.1109/metroautomotive64646.2025.11119249"},"language":"en","primary_location":{"id":"doi:10.1109/metroautomotive64646.2025.11119249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroautomotive64646.2025.11119249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)","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":null,"display_name":"Davide Cassanelli","orcid":null},"institutions":[{"id":"https://openalex.org/I122346577","display_name":"University of Modena and Reggio Emilia","ror":"https://ror.org/02d4c4y02","country_code":"IT","type":"education","lineage":["https://openalex.org/I122346577"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Davide Cassanelli","raw_affiliation_strings":["University of Modena and Reggio Emilia,Department of Engineering &#x201C;Enzo Ferrari&#x201D;,Modena,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Modena and Reggio Emilia,Department of Engineering &#x201C;Enzo Ferrari&#x201D;,Modena,Italy","institution_ids":["https://openalex.org/I122346577"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Stefano Cattini","orcid":null},"institutions":[{"id":"https://openalex.org/I122346577","display_name":"University of Modena and Reggio Emilia","ror":"https://ror.org/02d4c4y02","country_code":"IT","type":"education","lineage":["https://openalex.org/I122346577"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Cattini","raw_affiliation_strings":["University of Modena and Reggio Emilia,Department of Engineering &#x201C;Enzo Ferrari&#x201D;,Modena,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Modena and Reggio Emilia,Department of Engineering &#x201C;Enzo Ferrari&#x201D;,Modena,Italy","institution_ids":["https://openalex.org/I122346577"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lorenzo Medici","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152970","display_name":"CNH Industrial (Italy)","ror":"https://ror.org/047gams58","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210102001","https://openalex.org/I4210152970"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Medici","raw_affiliation_strings":["CNH Industrial Italia spa,Modena,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNH Industrial Italia spa,Modena,Italy","institution_ids":["https://openalex.org/I4210152970"]}]},{"author_position":"last","author":{"id":null,"display_name":"Luigi Rovati","orcid":null},"institutions":[{"id":"https://openalex.org/I122346577","display_name":"University of Modena and Reggio Emilia","ror":"https://ror.org/02d4c4y02","country_code":"IT","type":"education","lineage":["https://openalex.org/I122346577"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luigi Rovati","raw_affiliation_strings":["University of Modena and Reggio Emilia,Department of Engineering &#x201C;Enzo Ferrari&#x201D;,Modena,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Modena and Reggio Emilia,Department of Engineering &#x201C;Enzo Ferrari&#x201D;,Modena,Italy","institution_ids":["https://openalex.org/I122346577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.45926926,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"233","last_page":"238"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.3393999934196472,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.3393999934196472,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13177","display_name":"Geological and Geophysical Studies","score":0.06040000170469284,"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"}},{"id":"https://openalex.org/T13067","display_name":"Geological Modeling and Analysis","score":0.0284000001847744,"subfield":{"id":"https://openalex.org/subfields/1906","display_name":"Geochemistry and Petrology"},"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/lidar","display_name":"Lidar","score":0.6276000142097473},{"id":"https://openalex.org/keywords/adverse-weather","display_name":"Adverse weather","score":0.428600013256073},{"id":"https://openalex.org/keywords/criticality","display_name":"Criticality","score":0.4043999910354614},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.35120001435279846},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.3416000008583069}],"concepts":[{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6547999978065491},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6276000142097473},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.517799973487854},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.4641999900341034},{"id":"https://openalex.org/C2992147540","wikidata":"https://www.wikidata.org/wiki/Q1277161","display_name":"Adverse weather","level":2,"score":0.428600013256073},{"id":"https://openalex.org/C125611927","wikidata":"https://www.wikidata.org/wiki/Q17008131","display_name":"Criticality","level":2,"score":0.4043999910354614},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35690000653266907},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.35120001435279846},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.3416000008583069},{"id":"https://openalex.org/C2992684518","wikidata":"https://www.wikidata.org/wiki/Q165632","display_name":"Atmospheric dust","level":3,"score":0.30399999022483826},{"id":"https://openalex.org/C2776266606","wikidata":"https://www.wikidata.org/wiki/Q476482","display_name":"Test bench","level":2,"score":0.2825999855995178}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/metroautomotive64646.2025.11119249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroautomotive64646.2025.11119249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unimore.it:11380/1386113","is_oa":false,"landing_page_url":"https://hdl.handle.net/11380/1386113","pdf_url":null,"source":{"id":"https://openalex.org/S4306400718","display_name":"IRIS UNIMORE (University of Modena and Reggio Emilia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122346577","host_organization_name":"University of Modena and Reggio Emilia","host_organization_lineage":["https://openalex.org/I122346577"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2586338891","https://openalex.org/W3000219846","https://openalex.org/W3164376993","https://openalex.org/W3211927980","https://openalex.org/W4282930545","https://openalex.org/W4283760220","https://openalex.org/W4293151699","https://openalex.org/W4310969483","https://openalex.org/W4384010457","https://openalex.org/W4384158764","https://openalex.org/W4386736852","https://openalex.org/W4389724909","https://openalex.org/W4390045338","https://openalex.org/W4391217167","https://openalex.org/W4392188039","https://openalex.org/W4402769086","https://openalex.org/W4405936909"],"related_works":[],"abstract_inverted_index":{"The":[0,122,174],"use":[1,116],"of":[2,63,91,101,117,150,166],"LiDARs":[3,40,64,118],"to":[4,59,85,141,163,199],"support":[5,26],"machine":[6],"driving":[7],"is":[8,103,110,125,132,193,211],"generally":[9],"widely":[10],"recognized":[11],"as":[12,70,214],"a":[13,82,111,128,133,215],"valuable":[14],"ally.":[15],"However,":[16],"the":[17,61,89,99,107,115,138,151,157,167,171,181,191,204,207],"conditions":[18,36,68,140],"in":[19,37,44,50,65,88,96,106,114,119],"which":[20,38,137],"human":[21],"drivers":[22],"would":[23],"need":[24],"more":[25,53,55],"are":[27,144],"often":[28],"those":[29],"characterized":[30],"by":[31],"limited":[32],"or":[33,74],"poor":[34],"visibility,":[35],"even":[39],"may":[41],"find":[42],"themselves":[43],"great":[45],"difficulty.":[46],"In":[47,77],"this":[48,78],"regard,":[49],"recent":[51],"years,":[52],"and":[54],"studies":[56],"have":[57,177],"begun":[58],"investigate":[60],"performance":[62,87],"adverse":[66],"weather":[67],"such":[69],"fog,":[71],"heavy":[72,75],"rain,":[73],"snowfall.":[76],"study,":[79],"we":[80],"proposed":[81,123,158],"test":[83],"bench":[84],"analyze":[86,164],"presence":[90,100],"dust.":[92],"Although":[93],"perhaps":[94],"rarer":[95],"road":[97],"applications,":[98],"dust":[102,129,139,205,208],"unfortunately":[104],"ubiquitous":[105],"offroad.":[108],"It":[109],"significant":[112],"criticality":[113],"offhighway":[120],"applications.":[121],"method":[124,159],"based":[126],"on":[127],"chamber,":[130],"that":[131,153,179],"transparent":[134],"chamber":[135],"inside":[136,203],"be":[142,155],"analyzed":[143],"created.":[145],"To":[146],"provide":[147],"an":[148],"example":[149],"information":[152],"can":[154],"obtained,":[156],"has":[160],"been":[161],"exploited":[162],"one":[165],"most":[168],"widespread":[169],"LiDARs,":[170],"Velodyne":[172],"VLP-16.":[173],"results":[175],"obtained":[176],"shown":[178],"when":[180],"Meteorological":[182],"Optical":[183],"Range,":[184],"MOR,":[185],"drops":[186],"below":[187],"about":[188],"5":[189],"m,":[190],"VLP-16":[192],"not":[194],"only":[195],"no":[196],"longer":[197],"able":[198],"detect":[200],"any":[201],"targets":[202],"but":[206],"cloud":[209],"itself":[210],"erroneously":[212],"detected":[213],"target.":[216]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
