{"id":"https://openalex.org/W3036766170","doi":"https://doi.org/10.1109/cvprw50498.2020.00327","title":"Unsupervised Learning of Metric Representations with Slow Features from Omnidirectional Views","display_name":"Unsupervised Learning of Metric Representations with Slow Features from Omnidirectional Views","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3036766170","doi":"https://doi.org/10.1109/cvprw50498.2020.00327","mag":"3036766170"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw50498.2020.00327","pdf_url":null,"source":{"id":"https://openalex.org/S4363607748","display_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5059306568","display_name":"Mathias Franzius","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112253","display_name":"Honda (Germany)","ror":"https://ror.org/022c1xk47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210112253"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mathias Franzius","raw_affiliation_strings":["Honda Research Institute Europe GmbH, Offenbach, Germany"],"affiliations":[{"raw_affiliation_string":"Honda Research Institute Europe GmbH, Offenbach, Germany","institution_ids":["https://openalex.org/I4210112253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050311531","display_name":"Benjamin Metka","orcid":"https://orcid.org/0000-0002-1412-3349"},"institutions":[{"id":"https://openalex.org/I5237613","display_name":"Frankfurt University of Applied Sciences","ror":"https://ror.org/02r625m11","country_code":"DE","type":"education","lineage":["https://openalex.org/I5237613"]},{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Benjamin Metka","raw_affiliation_strings":["Frankfurt University of Applied Sciences, Frankfurt, Germany"],"affiliations":[{"raw_affiliation_string":"Frankfurt University of Applied Sciences, Frankfurt, Germany","institution_ids":["https://openalex.org/I5237613","https://openalex.org/I114090438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101480140","display_name":"Muhammad Haris","orcid":"https://orcid.org/0000-0003-0773-7657"},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]},{"id":"https://openalex.org/I5237613","display_name":"Frankfurt University of Applied Sciences","ror":"https://ror.org/02r625m11","country_code":"DE","type":"education","lineage":["https://openalex.org/I5237613"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Muhammad Haris","raw_affiliation_strings":["Frankfurt University of Applied Sciences, Frankfurt, Germany"],"affiliations":[{"raw_affiliation_string":"Frankfurt University of Applied Sciences, Frankfurt, Germany","institution_ids":["https://openalex.org/I114090438","https://openalex.org/I5237613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086974122","display_name":"Ute Bauer-Wersing","orcid":null},"institutions":[{"id":"https://openalex.org/I5237613","display_name":"Frankfurt University of Applied Sciences","ror":"https://ror.org/02r625m11","country_code":"DE","type":"education","lineage":["https://openalex.org/I5237613"]},{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ute Bauer-Wersing","raw_affiliation_strings":["Frankfurt University of Applied Sciences, Frankfurt, Germany"],"affiliations":[{"raw_affiliation_string":"Frankfurt University of Applied Sciences, Frankfurt, Germany","institution_ids":["https://openalex.org/I5237613","https://openalex.org/I114090438"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.269,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.328752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":61,"max":69},"biblio":{"volume":null,"issue":null,"first_page":"2710","last_page":"2718"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997,"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":0.9997,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9915,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9865,"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/odometry","display_name":"Odometry","score":0.82660127},{"id":"https://openalex.org/keywords/visual-odometry","display_name":"Visual Odometry","score":0.64425045},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.50896573}],"concepts":[{"id":"https://openalex.org/C49441653","wikidata":"https://www.wikidata.org/wiki/Q2014717","display_name":"Odometry","level":4,"score":0.82660127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.73312545},{"id":"https://openalex.org/C5799516","wikidata":"https://www.wikidata.org/wiki/Q4110915","display_name":"Visual odometry","level":3,"score":0.64425045},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.606045},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.58532774},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.57436216},{"id":"https://openalex.org/C86369673","wikidata":"https://www.wikidata.org/wiki/Q1203659","display_name":"Simultaneous localization and mapping","level":4,"score":0.5631823},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.50896573},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5077935},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.42361963},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3546688},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.32247037},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10500905},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw50498.2020.00327","pdf_url":null,"source":{"id":"https://openalex.org/S4363607748","display_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":23,"referenced_works":["https://openalex.org/W141746491","https://openalex.org/W1551890284","https://openalex.org/W1970563963","https://openalex.org/W1988874269","https://openalex.org/W2015996585","https://openalex.org/W2040572703","https://openalex.org/W2047804403","https://openalex.org/W2085483538","https://openalex.org/W2105934661","https://openalex.org/W2140242774","https://openalex.org/W2146444479","https://openalex.org/W2146881125","https://openalex.org/W2148856562","https://openalex.org/W2152671441","https://openalex.org/W2166132830","https://openalex.org/W2200124539","https://openalex.org/W2296147781","https://openalex.org/W2516399155","https://openalex.org/W2773461341","https://openalex.org/W2892001382","https://openalex.org/W2900907615","https://openalex.org/W3003175444","https://openalex.org/W4243425824"],"related_works":["https://openalex.org/W4324290685","https://openalex.org/W3110752836","https://openalex.org/W2982578609","https://openalex.org/W2972219788","https://openalex.org/W2734306012","https://openalex.org/W2625455490","https://openalex.org/W2554592351","https://openalex.org/W2134943711","https://openalex.org/W2116298349","https://openalex.org/W2028864324"],"abstract_inverted_index":{"Unsupervised":[0],"learning":[1],"of":[2,49,63,105,116,126,169],"Self-Localization":[3],"with":[4],"Slow":[5],"Feature":[6],"Analysis":[7],"(SFA)":[8],"using":[9,163],"omnidirectional":[10,33],"camera":[11],"input":[12],"has":[13],"been":[14],"shown":[15,175],"to":[16,21,39,89,137,152,176],"be":[17],"a":[18,66,106,124,164],"viable":[19],"alternative":[20],"established":[22],"SLAM":[23],"approaches.":[24],"Previous":[25],"models":[26],"for":[27,112,130,167],"SFA":[28,44,95,170],"self-localization":[29],"purely":[30],"relied":[31],"on":[32,74,147,156,160],"visual":[34],"input.":[35],"The":[36],"model":[37],"led":[38],"globally":[40],"consistent":[41,110],"localization":[42,64,171,179],"in":[43],"space":[45],"but":[46],"the":[47,53,131,138,144,182],"lack":[48],"odometry":[50,57,173],"integration":[51,58],"reduced":[52],"local":[54],"accuracy.":[55],"However,":[56],"and":[59,172],"other":[60],"downstream":[61],"usage":[62],"require":[65],"common":[67],"coordinate":[68],"system,":[69],"which":[70,108],"previously":[71],"was":[72],"based":[73,155],"an":[75,85,127],"external":[76,98,157],"metric":[77,92],"ground":[78],"truth":[79],"measurement":[80],"system.":[81],"Here,":[82],"we":[83],"show":[84,142],"autonomous":[86],"unsupervised":[87],"approach":[88],"generate":[90],"accurate":[91],"representations":[93],"from":[94,133],"outputs":[96],"without":[97],"sensors.":[99,158],"We":[100,141],"assume":[101],"locally":[102],"linear":[103],"trajectories":[104],"robot,":[107],"is":[109,150,174],"with,":[111],"example,":[113],"driving":[114],"patterns":[115],"robotic":[117],"lawn":[118],"mowers.":[119],"This":[120],"geometric":[121],"constraint":[122],"allows":[123],"formulation":[125],"optimization":[128],"problem":[129],"regression":[132,154,184],"slow":[134],"feature":[135],"values":[136],"robot's":[139],"position.":[140],"that":[143],"resulting":[145],"accuracy":[146,180],"test":[148],"data":[149],"comparable":[151],"supervised":[153,183],"Based":[159],"this":[161],"result,":[162],"Kalman":[165],"filter":[166],"fusion":[168],"further":[177],"increase":[178],"over":[181],"model.":[185]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3036766170","counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2024-12-10T07:39:23.122105","created_date":"2020-06-25"}
