{"id":"https://openalex.org/W2922106454","doi":"https://doi.org/10.1109/tii.2019.2905662","title":"Character Segmentation-Based Coarse-Fine Approach for Automobile Dashboard Detection","display_name":"Character Segmentation-Based Coarse-Fine Approach for Automobile Dashboard Detection","publication_year":2019,"publication_date":"2019-03-18","ids":{"openalex":"https://openalex.org/W2922106454","doi":"https://doi.org/10.1109/tii.2019.2905662","mag":"2922106454"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2019.2905662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2019.2905662","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-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/A5036684787","display_name":"Huijun Gao","orcid":"https://orcid.org/0000-0001-5554-5452"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huijun Gao","raw_affiliation_strings":["Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-5554-5452","affiliations":[{"raw_affiliation_string":"Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074806592","display_name":"Ming Yi","orcid":"https://orcid.org/0000-0002-9482-6908"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Yi","raw_affiliation_strings":["Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-9482-6908","affiliations":[{"raw_affiliation_string":"Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071596296","display_name":"Jinyong Yu","orcid":"https://orcid.org/0000-0001-8778-6103"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyong Yu","raw_affiliation_strings":["Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101746600","display_name":"Jun-Bao Li","orcid":"https://orcid.org/0000-0002-3064-3918"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junbao Li","raw_affiliation_strings":["Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044251375","display_name":"Xinghu Yu","orcid":"https://orcid.org/0000-0001-8181-6199"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinghu Yu","raw_affiliation_strings":["Ningbo Institute of Intelligent Equipment Technology Company, Ltd., Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ningbo Institute of Intelligent Equipment Technology Company, Ltd., Ningbo, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9851,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.89439802,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"15","issue":"10","first_page":"5413","last_page":"5424"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9998999834060669,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9998999834060669,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/computer-science","display_name":"Computer science","score":0.8005321621894836},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7145677804946899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6709901094436646},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6174574494361877},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6110048294067383},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.6075169444084167},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5971434116363525},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5889708399772644},{"id":"https://openalex.org/keywords/pointer","display_name":"Pointer (user interface)","score":0.44967418909072876},{"id":"https://openalex.org/keywords/connected-component","display_name":"Connected component","score":0.4158388674259186},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33575505018234253}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8005321621894836},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7145677804946899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6709901094436646},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6174574494361877},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6110048294067383},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.6075169444084167},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5971434116363525},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5889708399772644},{"id":"https://openalex.org/C150202949","wikidata":"https://www.wikidata.org/wiki/Q107602","display_name":"Pointer (user interface)","level":2,"score":0.44967418909072876},{"id":"https://openalex.org/C193435613","wikidata":"https://www.wikidata.org/wiki/Q2997928","display_name":"Connected component","level":2,"score":0.4158388674259186},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33575505018234253},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2019.2905662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2019.2905662","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2953219683","display_name":null,"funder_award_id":"B16014","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"}],"funders":[{"id":"https://openalex.org/F4320321940","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W175058090","https://openalex.org/W639708223","https://openalex.org/W1830642241","https://openalex.org/W1994664313","https://openalex.org/W2039367092","https://openalex.org/W2059046378","https://openalex.org/W2065429801","https://openalex.org/W2095705004","https://openalex.org/W2119426601","https://openalex.org/W2133059825","https://openalex.org/W2144506857","https://openalex.org/W2153635508","https://openalex.org/W2155912251","https://openalex.org/W2156909104","https://openalex.org/W2161969291","https://openalex.org/W2282078507","https://openalex.org/W2462425209","https://openalex.org/W2557728737","https://openalex.org/W2567678992","https://openalex.org/W2596363710","https://openalex.org/W2613718673","https://openalex.org/W2751957245","https://openalex.org/W4237938455"],"related_works":["https://openalex.org/W2779573348","https://openalex.org/W1995536880","https://openalex.org/W2620723295","https://openalex.org/W4255221925","https://openalex.org/W2134786086","https://openalex.org/W3121973004","https://openalex.org/W2181817726","https://openalex.org/W2084720538","https://openalex.org/W2363530787","https://openalex.org/W1520621782"],"abstract_inverted_index":{"Computer":[0],"vision":[1],"based":[2,83,141],"detection":[3,19,192],"approaches":[4],"are":[5,138],"widely":[6],"employed":[7],"to":[8,41,44,72,88,128,152,172],"detect":[9,74],"or":[10],"calibrate":[11],"different":[12,75,210],"types":[13,30,47,76],"of":[14,31,35,37,48,77,93,107,158,178,209,215],"meters":[15],"nowadays.":[16],"However,":[17],"traditional":[18],"algorithms":[20,39,52],"suffer":[21],"drawbacks":[22],"in":[23,204],"accuracy":[24],"and":[25,180],"adaptability":[26],"upon":[27],"detecting":[28,205],"various":[29],"automobile":[32,78],"dashboards.":[33,49,79],"Plenty":[34],"parameters":[36],"these":[38],"need":[40],"be":[42],"tuned":[43],"suit":[45],"certain":[46],"Besides,":[50],"theses":[51],"cannot":[53],"automatically":[54],"read":[55],"the":[56,90,94,133,154,159,166,183,216],"speed":[57],"value,":[58],"which":[59,101],"requires":[60],"manual":[61,213],"setting":[62],"operations.":[63],"In":[64],"this":[65],"paper,":[66],"a":[67,189,201,206],"novel":[68],"approach":[69],"is":[70,85,102,125,150,170],"presented":[71],"adaptively":[73],"The":[80,161],"contour":[81],"analysis":[82],"method":[84,169],"first":[86],"implemented":[87],"extract":[89],"connected":[91,176],"component":[92],"pointer.":[95,160],"A":[96],"robust":[97,171],"character":[98,116,185],"segmentation":[99,186],"classifier,":[100,115,124],"designed":[103],"by":[104,175],"cascading":[105],"histogram":[106],"oriented":[108],"gradients":[109],"(HOG)/support":[110],"vector":[111],"machine":[112],"(SVM)":[113],"binary":[114],"filter":[117],"as":[118,120],"well":[119],"HOG/multiclass":[121],"SVM":[122],"digit":[123,130],"then":[126,139],"proposed":[127],"recognize":[129],"characters":[131],"on":[132,142],"dashboard.":[134],"Simultaneously,":[135],"tick":[136],"marks":[137],"extracted":[140],"recognition":[143],"results.":[144],"Finally,":[145],"Newton":[146],"interpolation":[147],"linear":[148],"relationship":[149],"established":[151,184],"diagnose":[153],"potential":[155],"responding":[156],"errors":[157],"experimental":[162],"results":[163],"show":[164],"that":[165,182],"pointer":[167],"extraction":[168],"interferences":[173],"caused":[174],"components":[177],"digits":[179],"also":[181],"classifier":[187],"has":[188,200],"more":[190],"accurate":[191],"result.":[193],"Furthermore,":[194],"compared":[195],"with":[196],"similar":[197],"algorithms,":[198],"it":[199],"significant":[202],"advantage":[203],"vast":[207],"majority":[208],"dashboards":[211],"without":[212],"tuning":[214],"parameters.":[217]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}