{"id":"https://openalex.org/W2743243569","doi":"https://doi.org/10.1109/icca.2017.8003131","title":"Development of a novel visual feature detection-based method for aircraft door identification using vision approach","display_name":"Development of a novel visual feature detection-based method for aircraft door identification using vision approach","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2743243569","doi":"https://doi.org/10.1109/icca.2017.8003131","mag":"2743243569"},"language":"en","primary_location":{"id":"doi:10.1109/icca.2017.8003131","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca.2017.8003131","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","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":["Nanyang Technological University, Singapore, Singapore, SG"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore, SG","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","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"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054030748","display_name":"Desmond Mark Tham","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Desmond Mark Tham","raw_affiliation_strings":["ST Engineering-NTU Corporate Lab, Singapore Technologies Dynamics Pte Ltd, Singapore"],"affiliations":[{"raw_affiliation_string":"ST Engineering-NTU Corporate Lab, Singapore Technologies Dynamics Pte Ltd, Singapore","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059183724"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.6022,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74216111,"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":"618","last_page":"623"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9987000226974487,"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":0.9968000054359436,"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":0.9955999851226807,"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/footplate","display_name":"Footplate","score":0.852205753326416},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.681432843208313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6383112072944641},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6278150677680969},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5951807498931885},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5650383234024048},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5429373383522034},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4144146144390106},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32710468769073486},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.308840274810791}],"concepts":[{"id":"https://openalex.org/C150011116","wikidata":"https://www.wikidata.org/wiki/Q5466540","display_name":"Footplate","level":2,"score":0.852205753326416},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.681432843208313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6383112072944641},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6278150677680969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5951807498931885},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5650383234024048},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5429373383522034},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4144146144390106},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32710468769073486},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.308840274810791},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icca.2017.8003131","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca.2017.8003131","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","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":21,"referenced_works":["https://openalex.org/W1625478134","https://openalex.org/W1810680469","https://openalex.org/W1970850659","https://openalex.org/W1978135836","https://openalex.org/W1995853649","https://openalex.org/W2015912801","https://openalex.org/W2046592994","https://openalex.org/W2048605480","https://openalex.org/W2051184551","https://openalex.org/W2054511520","https://openalex.org/W2067381981","https://openalex.org/W2069915544","https://openalex.org/W2080928936","https://openalex.org/W2126833203","https://openalex.org/W2152444980","https://openalex.org/W2154209944","https://openalex.org/W2159577413","https://openalex.org/W2169013230","https://openalex.org/W2346957300","https://openalex.org/W2625079024","https://openalex.org/W6682428543"],"related_works":["https://openalex.org/W1996690921","https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2151520854","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"the":[3,62,75,82,100,106,110,114,117,121],"outcomes":[4],"of":[5,36,39,61,99,116],"relevant":[6,40],"feature":[7],"extraction":[8],"and":[9,24,42,94],"identification":[10,90,115],"methods":[11],"to":[12,21],"aid":[13],"successfully":[14],"aircraft":[15,47,118],"door":[16,48,50,88,119],"detection.":[17],"The":[18,32,97],"system":[19],"has":[20],"work":[22],"day":[23],"night,":[25],"rain":[26],"or":[27],"shine":[28],"under":[29,91],"all-weather":[30],"conditions.":[31,96],"proposed":[33,101],"solution":[34],"consists":[35],"a":[37,77,85],"suite":[38],"extracted":[41,63],"identified":[43],"features":[44,64,125],"that":[45,80],"characterize":[46],"(e.g.":[49],"windows,":[51],"handle,":[52],"text,":[53],"footplate,":[54],"arrow,":[55],"frame":[56],"lines).":[57],"Furthermore,":[58],"preliminary":[59],"evaluation":[60],"gave":[65],"detection":[66],"with":[67,126],"more":[68],"than":[69],"97%":[70],"success":[71,128],"rate":[72],"(except":[73],"for":[74,84,109,113],"footplate),":[76],"promising":[78],"outcome":[79],"sets":[81],"scene":[83],"potential":[86],"successful":[87],"position":[89],"all":[92],"lighting":[93],"weather":[95],"robustness":[98],"method":[102],"is":[103],"accomplished":[104],"by":[105],"logical":[107],"structure":[108],"decision":[111],"process":[112],"using":[120],"various":[122],"features.":[123],"Here,":[124],"high":[127],"rates":[129],"will":[130],"be":[131],"assigned":[132],"higher":[133],"weight.":[134]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}