{"id":"https://openalex.org/W2082499916","doi":"https://doi.org/10.1109/robio.2014.7090518","title":"Marker-based tracking with unmanned aerial vehicles","display_name":"Marker-based tracking with unmanned aerial vehicles","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2082499916","doi":"https://doi.org/10.1109/robio.2014.7090518","mag":"2082499916"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2014.7090518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2014.7090518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014)","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/A5081625688","display_name":"Christian Nitschke","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Christian Nitschke","raw_affiliation_strings":["Graduate School of Informatics, Kyoto University, Sakyo-ku, Kyoto, Japan","Graduate School of Informatics, Kyoto University, Yoshida Honmachi, Sakyo-ku, Kyoto 606-8501, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Sakyo-ku, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Yoshida Honmachi, Sakyo-ku, Kyoto 606-8501, Japan","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5081625688"],"corresponding_institution_ids":["https://openalex.org/I22299242"],"apc_list":null,"apc_paid":null,"fwci":1.87829705,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.90368835,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"1331","last_page":"1338"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9986000061035156,"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":0.9986000061035156,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9952999949455261,"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/T11133","display_name":"UAV Applications and Optimization","score":0.9825999736785889,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5818737149238586},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5799232125282288},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39653363823890686},{"id":"https://openalex.org/keywords/aeronautics","display_name":"Aeronautics","score":0.3540286421775818},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3432428240776062},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32663798332214355},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2192927896976471},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13162347674369812}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5818737149238586},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5799232125282288},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39653363823890686},{"id":"https://openalex.org/C178802073","wikidata":"https://www.wikidata.org/wiki/Q8421","display_name":"Aeronautics","level":1,"score":0.3540286421775818},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3432428240776062},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32663798332214355},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2192927896976471},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13162347674369812},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2014.7090518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2014.7090518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1509235676","https://openalex.org/W1819851912","https://openalex.org/W1963715215","https://openalex.org/W1973126098","https://openalex.org/W1973440640","https://openalex.org/W1980982306","https://openalex.org/W1981397327","https://openalex.org/W1982417410","https://openalex.org/W2002454755","https://openalex.org/W2002690207","https://openalex.org/W2021760022","https://openalex.org/W2029143333","https://openalex.org/W2033470618","https://openalex.org/W2037050532","https://openalex.org/W2040920255","https://openalex.org/W2042772754","https://openalex.org/W2050843820","https://openalex.org/W2053361287","https://openalex.org/W2083661275","https://openalex.org/W2099684031","https://openalex.org/W2103678467","https://openalex.org/W2122759436","https://openalex.org/W2132453268","https://openalex.org/W2132690331","https://openalex.org/W2136694769","https://openalex.org/W2164139712","https://openalex.org/W2167807287","https://openalex.org/W2171648046","https://openalex.org/W2326932458","https://openalex.org/W4242735220","https://openalex.org/W6645642916","https://openalex.org/W6663983563","https://openalex.org/W6674885931"],"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":{"With":[0],"the":[1,79,121,184],"availability":[2],"of":[3,139,165,186],"low-cost":[4],"micro":[5],"aerial":[6,10],"vehicles":[7,11],"(MAVs),":[8],"unmanned":[9],"(UAVs)":[12],"quickly":[13],"gain":[14],"popularity":[15],"and":[16,28,47,64,73,89,103,109,131,134,150,172,179,191],"application":[17],"potential.":[18],"This":[19,81,182],"requires":[20],"techniques":[21],"that":[22,76],"can":[23,77],"be":[24],"understood":[25],"by":[26,177],"non-experts":[27],"flexibly":[29],"applied":[30,156],"for":[31,86,120],"rapid":[32,180],"prototyping.":[33],"Visual":[34],"tracking":[35,92,118],"is":[36,155],"an":[37],"essential":[38],"task":[39],"with":[40,93,147,189],"many":[41],"applications,":[42],"such":[43],"as":[44],"autonomous":[45],"navigation":[46,164],"scene":[48],"acquisition.":[49],"While":[50],"marker-less":[51],"methods":[52,55],"emerge,":[53],"marker-based":[54,91],"still":[56],"have":[57],"major":[58],"advantages":[59],"including":[60],"simplicity,":[61,190],"robustness,":[62],"accuracy":[63,149],"performance.":[65],"In":[66],"practice,":[67],"however,":[68],"multi-marker":[69],"setups":[70],"introduce":[71,98],"complexity":[72],"calibration":[74],"efforts":[75],"void":[78],"advantages.":[80],"work":[82],"proposes":[83],"a":[84,117,136,158,193],"solution":[85],"practical,":[87],"robust":[88],"easy-to-use":[90],"independent":[94],"compound":[95],"targets.":[96],"We":[97,126],"two":[99],"novel":[100],"target":[101],"designs":[102],"describe":[104],"pose":[105],"estimation,":[106],"noise":[107],"removal":[108],"geometric":[110],"transformations.":[111],"The":[112,153],"concepts":[113],"are":[114],"implemented":[115],"in":[116,157,198],"library":[119,154],"Parrot":[122],"AR.":[123],"Drone":[124],"2.0.":[125],"explain":[127],"its":[128],"video":[129],"access":[130],"camera":[132],"calibration,":[133],"provide":[135],"first":[137],"set":[138],"intrinsic":[140],"parameters,":[141],"jointly":[142],"estimated":[143],"from":[144],"14":[145],"units":[146],"high":[148],"low":[151],"variance.":[152],"one-day":[159],"contest":[160],"on":[161,196],"automatic":[162],"visual":[163],"UAVs,":[166],"where":[167],"students":[168],"without":[169],"technical":[170],"background":[171],"programming":[173],"skills":[174],"achieved":[175],"learning":[176],"experience":[178],"development.":[181],"shows":[183],"effectiveness":[185],"combining":[187],"capability":[188],"provides":[192],"case":[194],"study":[195],"robotics":[197],"interdisciplinary":[199],"education.":[200]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}