{"id":"https://openalex.org/W3004275510","doi":"https://doi.org/10.1109/iros40897.2019.8968146","title":"A Generative Model of Underwater Images for Active Landmark Detection and Docking","display_name":"A Generative Model of Underwater Images for Active Landmark Detection and Docking","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3004275510","doi":"https://doi.org/10.1109/iros40897.2019.8968146","mag":"3004275510"},"language":"en","primary_location":{"id":"doi:10.1109/iros40897.2019.8968146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros40897.2019.8968146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5009831628","display_name":"Shuang Liu","orcid":"https://orcid.org/0000-0001-9540-8989"},"institutions":[{"id":"https://openalex.org/I4391768281","display_name":"State Key Laboratory of Robotics","ror":"https://ror.org/03pcw1780","country_code":null,"type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366","https://openalex.org/I4391768281"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuang Liu","raw_affiliation_strings":["Shenyang Institute of Automation, Chinese Academy of Sciences,State Key Laboratory of Robotics,Shenyang,China","State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Shenyang Institute of Automation, Chinese Academy of Sciences,State Key Laboratory of Robotics,Shenyang,China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366","https://openalex.org/I4391768281"]},{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054882290","display_name":"Mete \u00d6zay","orcid":"https://orcid.org/0000-0002-7189-7260"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mete Ozay","raw_affiliation_strings":["Institutes for Robotics and Intelligent Manufacturing,Chinese Academy of Sciences,Shenyang,China","Chinese Academy of Sciences, Institutes for Robotics and Intelligent Manufacturing, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Institutes for Robotics and Intelligent Manufacturing,Chinese Academy of Sciences,Shenyang,China","institution_ids":["https://openalex.org/I142078773"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Institutes for Robotics and Intelligent Manufacturing, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082265547","display_name":"Hongli Xu","orcid":"https://orcid.org/0000-0001-6766-7879"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongli Xu","raw_affiliation_strings":["University of Chinese Academy of Sciences,Beijing,China","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101725246","display_name":"Lin Yang","orcid":"https://orcid.org/0000-0002-1778-2059"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yang Lin","raw_affiliation_strings":["Tohoku University,Graduate School of Information Sciences,Sendai,Miyagi,Japan","Graduate School of Information Sciences, Tohoku University, Sendai, Miyagi, Japan"],"affiliations":[{"raw_affiliation_string":"Tohoku University,Graduate School of Information Sciences,Sendai,Miyagi,Japan","institution_ids":["https://openalex.org/I201537933"]},{"raw_affiliation_string":"Graduate School of Information Sciences, Tohoku University, Sendai, Miyagi, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009259465","display_name":"Takayuki Okatani","orcid":"https://orcid.org/0000-0001-9222-763X"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takayuki Okatani","raw_affiliation_strings":["RIKEN Center for Advanced Intelligence Project,Tokyo,Japan","RIKEN Center for Advanced Intelligence Project, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"RIKEN Center for Advanced Intelligence Project,Tokyo,Japan","institution_ids":["https://openalex.org/I4210126580"]},{"raw_affiliation_string":"RIKEN Center for Advanced Intelligence Project, Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5009831628"],"corresponding_institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366","https://openalex.org/I4391768281"],"apc_list":null,"apc_paid":null,"fwci":0.4049,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.66931825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"8034","last_page":"8039"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9983999729156494,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9983999729156494,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11698","display_name":"Underwater Acoustics Research","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/landmark","display_name":"Landmark","score":0.7564074993133545},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.7362250685691833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7171818017959595},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6740617752075195},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5325509309768677},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.513603687286377},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4692169427871704},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4548533260822296},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4545740783214569},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.3488999009132385},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13271242380142212}],"concepts":[{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.7564074993133545},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.7362250685691833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7171818017959595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6740617752075195},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5325509309768677},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.513603687286377},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4692169427871704},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4548533260822296},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4545740783214569},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3488999009132385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13271242380142212},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros40897.2019.8968146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros40897.2019.8968146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1444714252","https://openalex.org/W1522301498","https://openalex.org/W1564498658","https://openalex.org/W1823139046","https://openalex.org/W1901129140","https://openalex.org/W1968631201","https://openalex.org/W1983139521","https://openalex.org/W1998166956","https://openalex.org/W1999182952","https://openalex.org/W2061290381","https://openalex.org/W2097771239","https://openalex.org/W2099471712","https://openalex.org/W2111256357","https://openalex.org/W2263375871","https://openalex.org/W2337231372","https://openalex.org/W2463205272","https://openalex.org/W2608461606","https://openalex.org/W2612445135","https://openalex.org/W2762430768","https://openalex.org/W2781130709","https://openalex.org/W2796347433","https://openalex.org/W2894931878","https://openalex.org/W2905275557","https://openalex.org/W2962819541","https://openalex.org/W2962982136","https://openalex.org/W2963073614","https://openalex.org/W2963201472","https://openalex.org/W2964121744","https://openalex.org/W3106250896","https://openalex.org/W4293584584","https://openalex.org/W4297775537","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6642222393","https://openalex.org/W6692999778","https://openalex.org/W6737664043","https://openalex.org/W6738824914","https://openalex.org/W6750227808","https://openalex.org/W6754935415","https://openalex.org/W6785652829","https://openalex.org/W7025273277"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W2280377497","https://openalex.org/W4387506531","https://openalex.org/W4238433571","https://openalex.org/W3174044702","https://openalex.org/W2967848559","https://openalex.org/W4283803360"],"abstract_inverted_index":{"Underwater":[0],"active":[1,139],"landmarks":[2],"(UALs)":[3],"are":[4,173],"widely":[5],"used":[6,45,103],"for":[7,72,138,148],"short-range":[8],"underwater":[9,12,25,65,170],"navigation":[10],"in":[11,92,176],"robotics":[13],"tasks.":[14],"Detection":[15],"of":[16,24,31,36,43,64,89,99,107,128,130],"UALs":[17,90,108,131],"is":[18,85,102],"challenging":[19],"due":[20],"to":[21,46,60,75,104,110],"large":[22],"variance":[23],"illumination,":[26,114],"water":[27,112],"quality":[28],"and":[29,67,116],"change":[30],"camera":[32],"viewpoint.":[33],"Moreover,":[34],"improvement":[35],"detection":[37,48,77,150,157,165,181],"accuracy":[38],"relies":[39],"upon":[40],"statistical":[41,126],"diversity":[42],"images":[44,88,106,129,147,162],"train":[47],"models.":[49],"We":[50],"propose":[51],"a":[52,83,93,177],"generative":[53,62],"adversarial":[54],"network,":[55],"called":[56],"Tank-to-field":[57],"GAN":[58],"(T2FGAN),":[59],"learn":[61],"models":[63,71,182],"images,":[66],"use":[68,144],"the":[69,96,100,145,160],"learned":[70,97],"data":[73],"augmentation":[74],"improve":[76,164],"accuracy.":[78,166],"To":[79],"this":[80],"end,":[81],"first":[82,124],"T2FGAN":[84,101,134],"trained":[86,183],"using":[87,159],"captured":[91],"tank.":[94],"Then,":[95,142],"model":[98],"generate":[105],"according":[109],"different":[111],"quality,":[113],"pose":[115],"landmark":[117,140],"configurations":[118],"(WIPCs).":[119],"In":[120,167],"experimental":[121],"analyses,":[122],"we":[123,143],"explore":[125],"properties":[127],"generated":[132,146,161,186],"by":[133,179,187],"under":[135],"various":[136],"WIPCs":[137],"detection.":[141],"training":[149,156],"algorithms.":[151],"Experimental":[152],"results":[153],"show":[154],"that":[155],"algorithms":[158],"can":[163],"field":[168],"experiments,":[169],"docking":[171],"tasks":[172],"successfully":[174],"performed":[175],"lake":[178],"employing":[180],"on":[184],"datasets":[185],"T2FGAN.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}