{"id":"https://openalex.org/W4387123643","doi":"https://doi.org/10.1109/case56687.2023.10260562","title":"Mobile MoCap: Retroreflector Localization On-The-Go","display_name":"Mobile MoCap: Retroreflector Localization On-The-Go","publication_year":2023,"publication_date":"2023-08-26","ids":{"openalex":"https://openalex.org/W4387123643","doi":"https://doi.org/10.1109/case56687.2023.10260562"},"language":"en","primary_location":{"id":"doi:10.1109/case56687.2023.10260562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case56687.2023.10260562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)","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/A5025651876","display_name":"Gary Lvov","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Gary Lvov","raw_affiliation_strings":["Institute for Experiential Robotics, Northeastern University,Boston,MA,USA","Institute for Experiential Robotics, Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Institute for Experiential Robotics, Northeastern University,Boston,MA,USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Institute for Experiential Robotics, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075977414","display_name":"Mark Zolotas","orcid":"https://orcid.org/0000-0002-7672-940X"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark Zolotas","raw_affiliation_strings":["Institute for Experiential Robotics, Northeastern University,Boston,MA,USA","Institute for Experiential Robotics, Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Institute for Experiential Robotics, Northeastern University,Boston,MA,USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Institute for Experiential Robotics, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065894510","display_name":"Nathaniel Hanson","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathaniel Hanson","raw_affiliation_strings":["Institute for Experiential Robotics, Northeastern University,Boston,MA,USA","Institute for Experiential Robotics, Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Institute for Experiential Robotics, Northeastern University,Boston,MA,USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Institute for Experiential Robotics, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069812214","display_name":"Austin Allison","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Austin Allison","raw_affiliation_strings":["Institute for Experiential Robotics, Northeastern University,Boston,MA,USA","Institute for Experiential Robotics, Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Institute for Experiential Robotics, Northeastern University,Boston,MA,USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Institute for Experiential Robotics, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089505570","display_name":"Xavier Hubbard","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xavier Hubbard","raw_affiliation_strings":["Institute for Experiential Robotics, Northeastern University,Boston,MA,USA","Institute for Experiential Robotics, Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Institute for Experiential Robotics, Northeastern University,Boston,MA,USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Institute for Experiential Robotics, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108833010","display_name":"Michael Angelo Carvajal","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Carvajal","raw_affiliation_strings":["Institute for Experiential Robotics, Northeastern University,Boston,MA,USA","Institute for Experiential Robotics, Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Institute for Experiential Robotics, Northeastern University,Boston,MA,USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Institute for Experiential Robotics, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009032681","display_name":"Ta\u015fk\u0131n Pad\u0131r","orcid":"https://orcid.org/0000-0001-5123-5801"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ta\u015fkin Padir","raw_affiliation_strings":["Institute for Experiential Robotics, Northeastern University,Boston,MA,USA","Institute for Experiential Robotics, Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Institute for Experiential Robotics, Northeastern University,Boston,MA,USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Institute for Experiential Robotics, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5025651876"],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":2.2034,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.88659254,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9987999796867371,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9961000084877014,"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/fiducial-marker","display_name":"Fiducial marker","score":0.8723130226135254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8539624810218811},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.849490761756897},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7039330005645752},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.6921181082725525},{"id":"https://openalex.org/keywords/retroreflector","display_name":"Retroreflector","score":0.6762742400169373},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5537850260734558},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4531446397304535},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4379868805408478},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42803236842155457},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.42382150888442993},{"id":"https://openalex.org/keywords/match-moving","display_name":"Match moving","score":0.4224238991737366},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.3202335238456726},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1536446213722229},{"id":"https://openalex.org/keywords/laser","display_name":"Laser","score":0.09859609603881836},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09355565905570984}],"concepts":[{"id":"https://openalex.org/C173974348","wikidata":"https://www.wikidata.org/wiki/Q1469893","display_name":"Fiducial marker","level":2,"score":0.8723130226135254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8539624810218811},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.849490761756897},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7039330005645752},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.6921181082725525},{"id":"https://openalex.org/C135339813","wikidata":"https://www.wikidata.org/wiki/Q2835","display_name":"Retroreflector","level":3,"score":0.6762742400169373},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5537850260734558},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4531446397304535},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4379868805408478},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42803236842155457},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.42382150888442993},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.4224238991737366},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.3202335238456726},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1536446213722229},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.09859609603881836},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09355565905570984},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/case56687.2023.10260562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case56687.2023.10260562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1628937209","https://openalex.org/W1988874269","https://openalex.org/W2015630406","https://openalex.org/W2016959837","https://openalex.org/W2085261163","https://openalex.org/W2102605133","https://openalex.org/W2105670030","https://openalex.org/W2117228865","https://openalex.org/W2119605622","https://openalex.org/W2125188427","https://openalex.org/W2145023731","https://openalex.org/W2164139712","https://openalex.org/W2526492027","https://openalex.org/W2565233142","https://openalex.org/W2911177615","https://openalex.org/W2965849985","https://openalex.org/W3031044065","https://openalex.org/W3044338976","https://openalex.org/W3094530900","https://openalex.org/W3145270441","https://openalex.org/W3148976827","https://openalex.org/W3150219630","https://openalex.org/W3190799932","https://openalex.org/W3205376396","https://openalex.org/W3212270995","https://openalex.org/W3215105773","https://openalex.org/W4205347512","https://openalex.org/W4250666038","https://openalex.org/W4280571816","https://openalex.org/W4288100565","https://openalex.org/W4306156462","https://openalex.org/W4312796256","https://openalex.org/W6803376173"],"related_works":["https://openalex.org/W4361019548","https://openalex.org/W2997897143","https://openalex.org/W2687972263","https://openalex.org/W2086392951","https://openalex.org/W2964174634","https://openalex.org/W2096175171","https://openalex.org/W2030131924","https://openalex.org/W1813914838","https://openalex.org/W2314488738","https://openalex.org/W2333544554"],"abstract_inverted_index":{"Motion":[0],"capture":[1,19,54],"through":[2],"tracking":[3,23,87],"retroreflectors":[4],"obtains":[5,169],"highly":[6],"accurate":[7,68],"pose":[8,40],"estimation,":[9],"which":[10,138],"is":[11,184],"frequently":[12],"used":[13,141],"in":[14,73,106,144,186],"robotics.":[15,145],"Unlike":[16],"commercial":[17,52],"motion":[18,53,97],"systems,":[20],"fiducial":[21,45,123,133,177],"marker-based":[22],"methods,":[24],"such":[25],"as":[26,114,116],"AprilTags,":[27,137],"can":[28],"perform":[29],"relative":[30,69,158],"localization":[31,49,70,103,143],"without":[32],"requiring":[33],"a":[34,60,77,126],"static":[35],"camera":[36,92,119],"setup.":[37],"However,":[38],"popular":[39],"estimation":[41],"methods":[42],"based":[43],"on":[44],"markers":[46],"have":[47],"lower":[48],"accuracy":[50,174],"than":[51,175],"systems.":[55],"We":[56,75,146],"propose":[57],"Mobile":[58,111,166,182],"Mo-Cap,":[59],"system":[61,168],"that":[62,81],"utilizes":[63],"inexpensive":[64],"near-infrared":[65],"cameras":[66],"for":[67,142,181],"even":[71],"while":[72,105],"motion.":[74],"present":[76],"retroreflector":[78],"feature":[79],"detector":[80],"performs":[82],"6-":[83],"DoF":[84],"(six":[85],"degrees-of-freedom)":[86],"and":[88,130,157,172,189],"operates":[89],"with":[90],"minimal":[91],"exposure":[93],"times":[94],"to":[95,120],"reduce":[96],"blur.":[98],"To":[99],"evaluate":[100,147],"the":[101,148,176],"proposed":[102],"technique":[104],"motion,":[107],"we":[108],"mount":[109],"our":[110,164],"MoCap":[112,167,183],"system,":[113],"well":[115],"an":[117],"RGB":[118],"benchmark":[121],"against":[122],"markers,":[124],"onto":[125],"precision-controlled":[127],"linear":[128],"rail":[129],"servo.":[131],"The":[132,179],"marker":[134,154],"approach":[135],"employs":[136],"are":[139],"pervasively":[140],"two":[149],"systems":[150],"at":[151,193],"varying":[152],"distances,":[153],"viewing":[155],"angles,":[156],"velocities.":[159],"Across":[160],"all":[161],"experimental":[162],"conditions,":[163],"stereo-based":[165],"higher":[170],"position":[171],"orientation":[173],"approach.":[178],"code":[180],"implemented":[185],"ROS":[187],"2":[188],"made":[190],"publicly":[191],"available":[192],"https//github.com/RIVeR-Lab/mobile_mocap":[194]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
