{"id":"https://openalex.org/W2908202655","doi":"https://doi.org/10.1109/icarcv.2018.8581250","title":"Computer Vision System for Cabin Door Detection and Location","display_name":"Computer Vision System for Cabin Door Detection and Location","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2908202655","doi":"https://doi.org/10.1109/icarcv.2018.8581250","mag":"2908202655"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2018.8581250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2018.8581250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)","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/A5059183724","display_name":"Bojan Andonovski","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Bojan Andonovski","raw_affiliation_strings":["Faculty of Electrical and Electronics Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Electronics Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100740555","display_name":"Jianliang Wang","orcid":"https://orcid.org/0000-0002-7265-4391"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jianliang Wang","raw_affiliation_strings":["Faculty of Electrical and Electronics Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Electronics Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059183724"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.2057,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6122805,"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":"1537","last_page":"1542"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9948999881744385,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9897000193595886,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6514988541603088},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47340497374534607},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.36655762791633606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34343162178993225},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3312014937400818}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6514988541603088},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47340497374534607},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.36655762791633606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34343162178993225},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3312014937400818}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2018.8581250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2018.8581250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1810680469","https://openalex.org/W1988790447","https://openalex.org/W2046592994","https://openalex.org/W2070493638","https://openalex.org/W2095905764","https://openalex.org/W2145023731","https://openalex.org/W2159386181","https://openalex.org/W2161969291","https://openalex.org/W2168356304","https://openalex.org/W2625079024","https://openalex.org/W2743243569","https://openalex.org/W4248437541","https://openalex.org/W6739261505"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2170022336"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"the":[3,29,84,95,99,103,106,110,131,145,157,161],"outcomes":[4],"of":[5,37,61,64,105,147,150,155],"a":[6,62,88,140,148],"framework":[7],"for":[8,98,102],"aircraft":[9,72,107,132],"door":[10,73,75,90,108,133],"position":[11,91],"identification":[12,104],"with":[13,39,123,139],"visual":[14],"camera":[15],"using":[16,109],"common":[17],"features":[18,69],"that":[19,70,114],"can":[20,135],"be":[21,136],"found":[22],"in":[23],"all":[24],"commercial":[25],"airplanes,":[26],"which":[27],"guides":[28],"aerobridge":[30],"to":[31,46,119],"automatically":[32],"and":[33,49,67,152],"reliably":[34],"dock":[35],"(Precision":[36],"0.5cm),":[38],"minimal":[40],"human":[41],"intervention.":[42],"The":[43,57],"system":[44],"has":[45],"work":[47,85],"day":[48],"night,":[50],"rain":[51],"or":[52,159],"shine":[53],"under":[54],"all-weather":[55],"conditions.":[56],"proposed":[58],"solution":[59],"consists":[60],"suite":[63],"relevant":[65],"extracted":[66],"identified":[68,138],"characterize":[71],"(e.g.":[74],"windows,":[76],"handle,":[77],"text,":[78],"footplate,":[79],"arrow,":[80],"frame":[81,134],"lines).":[82],"Furthermore,":[83],"focuses":[86],"on":[87],"final":[89],"confirmation":[92],"accomplished":[93],"by":[94],"logical":[96],"structure":[97],"decision":[100],"process":[101],"various":[111],"features.":[112],"In":[113],"way":[115],"we":[116],"are":[117],"able":[118],"build":[120],"confidence":[121],"level":[122],"appropriate":[124],"structural":[125],"(logical":[126],"component":[127],"connection)":[128],"organization.":[129],"Thus,":[130],"accurately":[137],"very":[141],"small":[142],"error":[143],"(in":[144],"range":[146],"couple":[149],"cm)":[151],"eliminate":[153],"risk":[154],"injuring":[156],"personnel":[158],"damaging":[160],"airplane.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
