{"id":"https://openalex.org/W2079450515","doi":"https://doi.org/10.1109/itsc.2014.6957769","title":"A driver assistance system based on multilayer iconic classifiers: Model and assessment on adverse conditions","display_name":"A driver assistance system based on multilayer iconic classifiers: Model and assessment on adverse conditions","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2079450515","doi":"https://doi.org/10.1109/itsc.2014.6957769","mag":"2079450515"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2014.6957769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2014.6957769","pdf_url":null,"source":null,"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"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/A_driver_assistance_system_based_on_multilayer_iconic_classifiers_Model_and_assessment_on_adverse_conditions/32502462","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062330915","display_name":"Giovanni Luca Masala","orcid":"https://orcid.org/0000-0001-6734-9424"},"institutions":[{"id":"https://openalex.org/I159650629","display_name":"University of Sassari","ror":"https://ror.org/01bnjbv91","country_code":"IT","type":"education","lineage":["https://openalex.org/I159650629"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"G.L. Masala","raw_affiliation_strings":["Department of Political Science Communication Engineering and Information Technologies, Computer Vision Laboratory, Sassari, ITALY","POLCOMING Department, University of Sassari"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Political Science Communication Engineering and Information Technologies, Computer Vision Laboratory, Sassari, ITALY","institution_ids":["https://openalex.org/I159650629"]},{"raw_affiliation_string":"POLCOMING Department, University of Sassari","institution_ids":["https://openalex.org/I159650629"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102980809","display_name":"Enrico Grosso","orcid":null},"institutions":[{"id":"https://openalex.org/I159650629","display_name":"University of Sassari","ror":"https://ror.org/01bnjbv91","country_code":"IT","type":"education","lineage":["https://openalex.org/I159650629"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"E. Grosso","raw_affiliation_strings":["Department of Political Science Communication Engineering and Information Technologies, Computer Vision Laboratory, Sassari, ITALY","POLCOMING Department, University of Sassari"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Political Science Communication Engineering and Information Technologies, Computer Vision Laboratory, Sassari, ITALY","institution_ids":["https://openalex.org/I159650629"]},{"raw_affiliation_string":"POLCOMING Department, University of Sassari","institution_ids":["https://openalex.org/I159650629"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I159650629"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"685","last_page":"690"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9983999729156494,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9983999729156494,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9929999709129333,"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/T10320","display_name":"Neural Networks and Applications","score":0.9894999861717224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7704917788505554},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7021797895431519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6008351445198059},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5923442244529724},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.5556203126907349},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4813140630722046},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.42876121401786804},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4134385287761688},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16324511170387268}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7704917788505554},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7021797895431519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6008351445198059},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5923442244529724},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.5556203126907349},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4813140630722046},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.42876121401786804},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4134385287761688},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16324511170387268},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/itsc.2014.6957769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2014.6957769","pdf_url":null,"source":null,"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:e-space.mmu.ac.uk:623244","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401617","display_name":"e-space (Manchester Metropolitan University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11983389","host_organization_name":"Manchester Metropolitan University","host_organization_lineage":["https://openalex.org/I11983389"],"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":"Conference or Workshop Item"},{"id":"pmh:oai:figshare.com:article/32502462","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/A_driver_assistance_system_based_on_multilayer_iconic_classifiers_Model_and_assessment_on_adverse_conditions/32502462","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"Conference contribution"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/32502462","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/A_driver_assistance_system_based_on_multilayer_iconic_classifiers_Model_and_assessment_on_adverse_conditions/32502462","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"Conference contribution"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5199999809265137,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W110500600","https://openalex.org/W1505840745","https://openalex.org/W1970566851","https://openalex.org/W1986622859","https://openalex.org/W1989702938","https://openalex.org/W2033419168","https://openalex.org/W2066074450","https://openalex.org/W2096709136","https://openalex.org/W2124776405","https://openalex.org/W2131329059","https://openalex.org/W2138451337","https://openalex.org/W2199441453","https://openalex.org/W2217896605","https://openalex.org/W2609092322","https://openalex.org/W2799061466","https://openalex.org/W3097096317","https://openalex.org/W4244494905","https://openalex.org/W6630398147","https://openalex.org/W6678851513","https://openalex.org/W6737040030","https://openalex.org/W7014191107"],"related_works":["https://openalex.org/W4382644535","https://openalex.org/W2522768275","https://openalex.org/W2352938035","https://openalex.org/W2351672553","https://openalex.org/W2373392303","https://openalex.org/W2765894405","https://openalex.org/W1884735063","https://openalex.org/W2372668238","https://openalex.org/W2560421750","https://openalex.org/W645600747"],"abstract_inverted_index":{"Recent":[0],"work":[1],"demonstrates":[2],"that":[3,52,149],"iconic":[4,39,117,151],"classifiers":[5,37],"are":[6,146],"good":[7],"candidates":[8],"for":[9,176],"the":[10,32,62,66,79,98,103,127,132,150],"development":[11],"of":[12,27,35,65,81,91,109,130],"effective":[13],"driver":[14,112],"assistance":[15,113],"systems,":[16],"exploiting":[17],"on-board":[18],"micro":[19],"cameras":[20],"and":[21,38,73,121,163],"embedded":[22,177],"architectures.":[23],"Following":[24],"this":[25,30,54,95,169],"line":[26],"research,":[28],"in":[29],"paper":[31],"combined":[33],"use":[34],"multilayer":[36],"data":[40],"reduction,":[41],"based":[42,86,115],"on":[43,87,116,126,137],"Sanger":[44],"neural":[45],"networks,":[46],"is":[47,50,58,93,119,135,158],"investigated.":[48],"It":[49],"shown":[51],"by":[53,160],"affordable":[55],"approach":[56],"it":[57],"possible":[59],"to":[60,171],"capture":[61],"essential":[63],"information":[64],"images,":[67],"making":[68],"worthless":[69],"much":[70],"more":[71],"structured":[72],"time-consuming":[74],"feature-based":[75],"techniques.":[76],"In":[77],"particular,":[78],"applicability":[80],"a":[82,88,110,122],"simplified":[83],"learning":[84],"stage,":[85],"small":[89],"dictionary":[90],"poses,":[92],"considered;":[94],"peculiarity":[96],"makes":[97],"system":[99],"almost":[100],"independent":[101],"from":[102],"actual":[104],"user.":[105],"A":[106],"detailed":[107],"model":[108],"simple":[111],"system,":[114],"classifiers,":[118],"presented":[120],"comparative":[123],"assessment,":[124],"focused":[125],"specific":[128],"task":[129],"monitoring":[131],"car":[133],"driver,":[134],"performed":[136],"adverse":[138],"driving":[139],"conditions.":[140],"Three":[141],"well":[142],"known":[143],"classification":[144],"techniques":[145],"applied,":[147],"demonstrating":[148],"approach,":[152],"though":[153],"can":[154],"be":[155,172],"certainly":[156],"improved,":[157],"characterized":[159],"robustness,":[161],"accuracy":[162],"real-time":[164],"response;":[165],"these":[166],"features":[167],"prove":[168],"technology":[170],"an":[173],"ideal":[174],"tool":[175],"automotive":[178],"applications.":[179]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
