{"id":"https://openalex.org/W4392255704","doi":"https://doi.org/10.1145/3633637.3633716","title":"Adaptive Target Location Method for Cross-in-a-circle Apron Using Monocular High-Speed Camera","display_name":"Adaptive Target Location Method for Cross-in-a-circle Apron Using Monocular High-Speed Camera","publication_year":2023,"publication_date":"2023-10-27","ids":{"openalex":"https://openalex.org/W4392255704","doi":"https://doi.org/10.1145/3633637.3633716"},"language":"en","primary_location":{"id":"doi:10.1145/3633637.3633716","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3633637.3633716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 12th International Conference on Computing and Pattern Recognition","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/A5061020332","display_name":"Miao Wang","orcid":"https://orcid.org/0009-0003-6836-6981"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Miao Wang","raw_affiliation_strings":["Beijing University Of Technology, China"],"raw_orcid":"https://orcid.org/0009-0003-6836-6981","affiliations":[{"raw_affiliation_string":"Beijing University Of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012011917","display_name":"Qiang Wu","orcid":"https://orcid.org/0009-0009-9127-523X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Wu","raw_affiliation_strings":["Beijing University of Technology, China"],"raw_orcid":"https://orcid.org/0009-0009-9127-523X","affiliations":[{"raw_affiliation_string":"Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037708146","display_name":"Xin Zheng","orcid":"https://orcid.org/0000-0001-7889-986X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zheng","raw_affiliation_strings":["Beijing University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-7889-986X","affiliations":[{"raw_affiliation_string":"Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061020332"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33127699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"502","last_page":"509"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.9789000153541565,"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"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9767000079154968,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8046308755874634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7138217687606812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7117387652397156},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.6912012696266174},{"id":"https://openalex.org/keywords/gnss-applications","display_name":"GNSS applications","score":0.5309683084487915},{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.5200176239013672},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.445792019367218},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.410694420337677},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09142360091209412}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8046308755874634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7138217687606812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7117387652397156},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.6912012696266174},{"id":"https://openalex.org/C14279187","wikidata":"https://www.wikidata.org/wiki/Q5514012","display_name":"GNSS applications","level":3,"score":0.5309683084487915},{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.5200176239013672},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.445792019367218},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.410694420337677},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09142360091209412},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3633637.3633716","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3633637.3633716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 12th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W181107242","https://openalex.org/W2136449387","https://openalex.org/W2164661013","https://openalex.org/W2184395184"],"related_works":["https://openalex.org/W3006474185","https://openalex.org/W2593280956","https://openalex.org/W2004312940","https://openalex.org/W2597513713","https://openalex.org/W3206500252","https://openalex.org/W2803265893","https://openalex.org/W1909961747","https://openalex.org/W1938318326","https://openalex.org/W1969479488","https://openalex.org/W2785359964"],"abstract_inverted_index":{"The":[0],"recognition":[1,166],"of":[2,9,44,71],"airport":[3,85],"apron":[4,18,108,118,171],"targets":[5],"and":[6,42,53,68,98,110,114,164,167],"the":[7,17,40,45,69,117,131,154],"determination":[8],"target":[10,23,81],"positions":[11,24],"are":[12,21],"critically":[13],"important":[14],"in":[15,31,56,65],"positioning":[16],"when":[19],"there":[20],"abnormal":[22],"or":[25,145],"unmanned":[26],"aerial":[27],"vehicles":[28],"(UAVs)":[29],"engaged":[30],"autonomous":[32],"cargo":[33],"retrieval.":[34],"This":[35,92],"is":[36],"crucial":[37],"for":[38,84,133,170],"ensuring":[39],"safety":[41],"efficiency":[43],"apron.":[46],"However,":[47],"challenges":[48],"such":[49],"as":[50],"resource-intensive":[51],"processes":[52],"suboptimal":[54],"accuracy":[55,160],"position":[57,158],"solving":[58,159,168],"have":[59],"been":[60],"encountered":[61],"due":[62],"to":[63,106],"limitations":[64],"hardware":[66],"equipment":[67],"complexity":[70],"multi-sensor":[72,135],"fusion.":[73],"In":[74],"this":[75],"paper,":[76],"we":[77],"propose":[78],"an":[79],"adaptive":[80,95],"location":[82],"method":[83,93,156],"aprons":[86],"based":[87,101],"on":[88,102,125],"monocular":[89],"high-speed":[90],"cameras.":[91],"employs":[94],"frame":[96],"differencing":[97],"perspective":[99],"transformation":[100],"geometric":[103],"shape":[104],"extraction":[105],"detect":[107],"objects":[109],"calculate":[111],"their":[112],"azimuth":[113],"deflection":[115],"from":[116],"center.":[119],"Importantly,":[120],"our":[121],"approach":[122],"relies":[123],"solely":[124],"a":[126],"single":[127],"visible-light":[128],"camera,":[129],"eliminating":[130],"need":[132],"complex":[134],"fusion":[136],"involving":[137],"binocular":[138],"matching,":[139],"Global":[140],"Navigation":[141],"Satellite":[142],"Systems":[143],"(GNSS),":[144],"Inertial":[146],"Measurement":[147],"Units":[148],"(IMU).":[149],"Experimental":[150],"results":[151],"demonstrate":[152],"that":[153],"proposed":[155],"achieves":[157],"within":[161],"1":[162],"meter":[163],"real-time":[165],"capabilities":[169],"objects.":[172]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
