{"id":"https://openalex.org/W2899608114","doi":"https://doi.org/10.1080/17489725.2018.1539255","title":"Learning indoor space perception","display_name":"Learning indoor space perception","publication_year":2018,"publication_date":"2018-10-02","ids":{"openalex":"https://openalex.org/W2899608114","doi":"https://doi.org/10.1080/17489725.2018.1539255","mag":"2899608114"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1080/17489725.2018.1539255","pdf_url":null,"source":{"id":"https://openalex.org/S96696709","display_name":"Journal of Location Based Services","issn_l":"1748-9725","issn":["1748-9725","1748-9733"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5024006892","display_name":"Andreas Sedlmeier","orcid":null},"institutions":[{"id":"https://openalex.org/I3018771216","display_name":"LMU Klinikum","ror":"https://ror.org/02jet3w32","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Andreas Sedlmeier","raw_affiliation_strings":["Mobile and Distributed Systems Group, LMU Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Mobile and Distributed Systems Group, LMU Munich, Munich, Germany","institution_ids":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051707356","display_name":"Sebastian Feld","orcid":"https://orcid.org/0000-0003-2782-1469"},"institutions":[{"id":"https://openalex.org/I3018771216","display_name":"LMU Klinikum","ror":"https://ror.org/02jet3w32","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Feld","raw_affiliation_strings":["Mobile and Distributed Systems Group, LMU Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Mobile and Distributed Systems Group, LMU Munich, Munich, Germany","institution_ids":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024006892"],"corresponding_institution_ids":["https://openalex.org/I3018771216","https://openalex.org/I8204097"],"apc_list":null,"apc_paid":null,"fwci":0.952,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":11,"citation_normalized_percentile":{"value":0.888347,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":86,"max":87},"biblio":{"volume":"12","issue":"3-4","first_page":"179","last_page":"214"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12325","display_name":"Analysis and Modeling of Urban Street Networks","score":0.9938,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T12325","display_name":"Analysis and Modeling of Urban Street Networks","score":0.9938,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10331","display_name":"Visual Object Tracking and Person Re-identification","score":0.989,"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/T11980","display_name":"Understanding Human Mobility Patterns","score":0.9808,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.54901},{"id":"https://openalex.org/keywords/social-sensing","display_name":"Social Sensing","score":0.542887},{"id":"https://openalex.org/keywords/location-based-data","display_name":"Location-Based Data","score":0.536511},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial Analysis","score":0.534329},{"id":"https://openalex.org/keywords/foreground-segmentation","display_name":"Foreground Segmentation","score":0.527843},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.52542496},{"id":"https://openalex.org/keywords/spatial-cognition","display_name":"Spatial Cognition","score":0.507499}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8016342},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.65028876},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.6271965},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.6201448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.562384},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.54901},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.52542496},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.51529264},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4730184},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44214505},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4030225},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39398324},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1080/17489725.2018.1539255","pdf_url":null,"source":{"id":"https://openalex.org/S96696709","display_name":"Journal of Location Based Services","issn_l":"1748-9725","issn":["1748-9725","1748-9733"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.69,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":49,"referenced_works":["https://openalex.org/W1238260143","https://openalex.org/W1503549511","https://openalex.org/W1510817841","https://openalex.org/W153448785","https://openalex.org/W1578907642","https://openalex.org/W1673310716","https://openalex.org/W1746665946","https://openalex.org/W1882088395","https://openalex.org/W1986847617","https://openalex.org/W1987971958","https://openalex.org/W2008822987","https://openalex.org/W2015751845","https://openalex.org/W2031648200","https://openalex.org/W2033403400","https://openalex.org/W2035993322","https://openalex.org/W2083782205","https://openalex.org/W2086724557","https://openalex.org/W2101234009","https://openalex.org/W2111643624","https://openalex.org/W2118429180","https://openalex.org/W2118557696","https://openalex.org/W2125003656","https://openalex.org/W2125691069","https://openalex.org/W2128026023","https://openalex.org/W2135385493","https://openalex.org/W2149041888","https://openalex.org/W2150593711","https://openalex.org/W2156930033","https://openalex.org/W2162833336","https://openalex.org/W2164078152","https://openalex.org/W2267107524","https://openalex.org/W2271840356","https://openalex.org/W2276739573","https://openalex.org/W2294798173","https://openalex.org/W2325559107","https://openalex.org/W2530111055","https://openalex.org/W2571012312","https://openalex.org/W2588807200","https://openalex.org/W2602275733","https://openalex.org/W2612910618","https://openalex.org/W2734266266","https://openalex.org/W2774735949","https://openalex.org/W2919115771","https://openalex.org/W3105265400","https://openalex.org/W4205947740","https://openalex.org/W4226283154","https://openalex.org/W4235169531","https://openalex.org/W4285719527","https://openalex.org/W67818368"],"related_works":["https://openalex.org/W4390100400","https://openalex.org/W4387891126","https://openalex.org/W4367313141","https://openalex.org/W4366547507","https://openalex.org/W4283374591","https://openalex.org/W2910751785","https://openalex.org/W2733999579","https://openalex.org/W2110217573","https://openalex.org/W2074396925","https://openalex.org/W2004086023"],"abstract_inverted_index":{"Human":[0],"perception":[1,49,194],"of":[2,30,46,50,75,89,105,121,128],"location":[3,31],"and":[4,27,32,35,59],"space":[5],"forms":[6],"the":[7,11,43,47,73,87,103,118,126,142,156,169],"basis":[8],"upon":[9,40],"which":[10],"interaction":[12],"with":[13,78],"location-based":[14],"services":[15],"(LBS)":[16],"takes":[17],"place.":[18],"Our":[19],"work":[20],"aims":[21],"to":[22,69,85,125,132,182],"develop":[23],"a":[24,98,159,188],"shared":[25],"awareness":[26],"common":[28],"understanding":[29],"space,between":[33],"machines":[34],"their":[36],"users":[37],"by":[38],"building":[39],"research":[41],"into":[42],"numerical":[44],"representation":[45],"visual":[48,193],"space.":[51],"Different":[52],"structures":[53,144,171],"in":[54,65,72,146,155,158],"buildings":[55],"like":[56],"rooms,":[57],"hallways":[58],"doorways":[60],"form":[61],"different,":[62],"corresponding":[63],"patterns":[64,152],"these":[66,92,150],"representations.":[67],"Thanks":[68],"recent":[70],"advances":[71],"field":[74],"deep":[76],"learning":[77,91,164],"neural":[79],"networks,":[80],"it":[81],"now":[82],"seems":[83],"possible":[84],"explore":[86],"idea":[88],"automatically":[90],"recurring":[93,143,151],"structures.":[94],"This":[95],"article":[96],"presents":[97],"complete":[99],"framework:":[100],"starting":[101],"from":[102],"collection":[104],"isovist":[106,138],"measures":[107,139],"along":[108],"geospatial":[109],"trajectories":[110],"on":[111],"indoor":[112],"floor":[113],"plans,over":[114],"statistical":[115],"data":[116,157],"analysis,":[117],"unsupervised":[119,162],"extraction":[120],"meaningful":[122,173],"structure,":[123],"up":[124],"training":[127],"models":[129],"that":[130,137,149,161],"generalize":[131],"different":[133,147],"environments.":[134],"We":[135],"show":[136],"do":[140],"reflect":[141],"found":[145],"buildings,":[148],"are":[153,172],"encoded":[154],"way":[160],"machine":[163],"can":[165],"identify":[166],"them":[167],"andthat":[168],"identified":[170],"as":[174,187],"they":[175],"represent":[176],"human":[177],"relatable":[178],"concepts.Furthermore,":[179],"we":[180],"propose":[181],"use":[183],"cluster":[184],"similarity":[185],"analysis":[186],"promising":[189],"concept":[190],"for":[191],"quantifying":[192],"similarity.":[195]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2899608114","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2024-09-30T11:19:07.352003","created_date":"2018-11-16"}
