{"id":"https://openalex.org/W2799751368","doi":"https://doi.org/10.1117/12.2309793","title":"Real-time stop sign detection and distance estimation using a single camera","display_name":"Real-time stop sign detection and distance estimation using a single camera","publication_year":2018,"publication_date":"2018-04-13","ids":{"openalex":"https://openalex.org/W2799751368","doi":"https://doi.org/10.1117/12.2309793","mag":"2799751368"},"language":"en","primary_location":{"id":"doi:10.1117/12.2309793","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2309793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Tenth International Conference on Machine Vision (ICMV 2017)","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":"https://openalex.org/A5100783231","display_name":"Wenpeng Wang","orcid":"https://orcid.org/0009-0003-6098-8516"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wenpeng Wang","raw_affiliation_strings":["Boston Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Boston Univ. (United States)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101644764","display_name":"Ming Cheng","orcid":"https://orcid.org/0000-0002-1018-8639"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ming Cheng","raw_affiliation_strings":["Boston Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Boston Univ. (United States)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027850561","display_name":"Yuxuan Su","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuxuan Su","raw_affiliation_strings":["Boston Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Boston Univ. (United States)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100783231"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3134,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6036454,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"49","last_page":"49"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9983000159263611,"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":0.9983000159263611,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9976000189781189,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9973999857902527,"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":0.7357496023178101},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7006486058235168},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.689208984375},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.664509654045105},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.48597821593284607},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.45733198523521423},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.437865287065506},{"id":"https://openalex.org/keywords/single-camera","display_name":"Single camera","score":0.4267963171005249},{"id":"https://openalex.org/keywords/cascading-classifiers","display_name":"Cascading classifiers","score":0.4259377419948578},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.39304620027542114},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.145405113697052},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09112387895584106}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7357496023178101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7006486058235168},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.689208984375},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.664509654045105},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.48597821593284607},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.45733198523521423},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.437865287065506},{"id":"https://openalex.org/C3018868555","wikidata":"https://www.wikidata.org/wiki/Q2918907","display_name":"Single camera","level":2,"score":0.4267963171005249},{"id":"https://openalex.org/C40651066","wikidata":"https://www.wikidata.org/wiki/Q5048220","display_name":"Cascading classifiers","level":4,"score":0.4259377419948578},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.39304620027542114},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.145405113697052},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09112387895584106},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2309793","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2309793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Tenth International Conference on Machine Vision (ICMV 2017)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2040847291","https://openalex.org/W2056250370","https://openalex.org/W2066154719","https://openalex.org/W2076313826","https://openalex.org/W2111502429","https://openalex.org/W2120027739","https://openalex.org/W2122487083","https://openalex.org/W2153567777","https://openalex.org/W2162319643","https://openalex.org/W2622792335","https://openalex.org/W4376043628","https://openalex.org/W6660518427","https://openalex.org/W6667119233","https://openalex.org/W6677930490","https://openalex.org/W6683588773"],"related_works":["https://openalex.org/W2153719181","https://openalex.org/W1971748923","https://openalex.org/W1566155057","https://openalex.org/W2060986072","https://openalex.org/W2341492732","https://openalex.org/W3187193180","https://openalex.org/W2052574922","https://openalex.org/W2032805221","https://openalex.org/W2101217650","https://openalex.org/W2779991293"],"abstract_inverted_index":{"In":[0,18,40],"modern":[1],"world,":[2],"the":[3,22,50,53,56,92,122,128],"drastic":[4],"development":[5],"of":[6,58,99,101,107],"driver":[7,139],"assistance":[8,140],"system":[9,73,94,123],"has":[10,127],"made":[11],"driving":[12,136,141],"a":[13,25,37,71,76,96,105],"lot":[14],"easier":[15],"than":[16],"before.":[17],"order":[19],"to":[20,29,48,130],"increase":[21],"safety":[23],"onboard,":[24],"method":[26],"was":[27,46,61,68],"proposed":[28,93],"detect":[30],"STOP":[31,41],"sign":[32,42,51],"and":[33,55,79,111,126,137],"estimate":[34],"distance":[35,64,116],"using":[36,70],"single":[38],"camera.":[39],"detection,":[43],"LBP-cascade":[44],"classifier":[45],"applied":[47],"identify":[49],"in":[52,115,133],"image,":[54],"principle":[57],"pinhole":[59],"imaging":[60],"based":[62],"for":[63],"estimation.":[65,117],"Road":[66],"test":[67],"conducted":[69],"detection":[72,97],"built":[74],"with":[75,85],"CMOS":[77],"camera":[78],"software":[80],"developed":[81],"by":[82],"Python":[83],"language":[84],"OpenCV":[86],"library.":[87],"Results":[88],"shows":[89],"that":[90,91,121],"reach":[95],"accuracy":[98],"maximum":[100],"97.6%":[102],"at":[103,109],"10m,":[104],"minimum":[106],"95.00%":[108],"20m,":[110],"5%":[112],"max":[113],"error":[114],"The":[118],"results":[119],"indicate":[120],"is":[124],"effective":[125],"potential":[129],"be":[131],"used":[132],"both":[134],"autonomous":[135],"advanced":[138],"systems.":[142]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}