{"id":"https://openalex.org/W7139139243","doi":"https://doi.org/10.48550/arxiv.2603.16166","title":"SignNav: Leveraging Signage for Semantic Visual Navigation in Large-Scale Indoor Environments","display_name":"SignNav: Leveraging Signage for Semantic Visual Navigation in Large-Scale Indoor Environments","publication_year":2026,"publication_date":"2026-03-17","ids":{"openalex":"https://openalex.org/W7139139243","doi":"https://doi.org/10.48550/arxiv.2603.16166"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.16166","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.16166","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.16166","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130159268","display_name":"Jian Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sun, Jian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130096890","display_name":"Yuming Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Yuming","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130183286","display_name":"He Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, He","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130064672","display_name":"Shuqi Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao, Shuqi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109642166","display_name":"Shenyan Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Shenyan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130124502","display_name":"Maani Ghaffari","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ghaffari, Maani","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081471514","display_name":"Qingbiao Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Qingbiao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130020610","display_name":"Chengzhong Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Chengzhong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130124050","display_name":"Hui Kong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kong, Hui","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5130159268"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.6348000168800354,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.6348000168800354,"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/T11904","display_name":"Spatial Cognition and Navigation","score":0.10689999908208847,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10036","display_name":"Advanced Neural Network Applications","score":0.046300001442432404,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/signage","display_name":"Signage","score":0.8492000102996826},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6092000007629395},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5845000147819519},{"id":"https://openalex.org/keywords/embodied-cognition","display_name":"Embodied cognition","score":0.5418999791145325},{"id":"https://openalex.org/keywords/digital-signage","display_name":"Digital signage","score":0.45249998569488525},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.44429999589920044},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.3677000105381012},{"id":"https://openalex.org/keywords/semantic-data-model","display_name":"Semantic data model","score":0.3560999929904938}],"concepts":[{"id":"https://openalex.org/C114938261","wikidata":"https://www.wikidata.org/wiki/Q1211272","display_name":"Signage","level":2,"score":0.8492000102996826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7716000080108643},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6092000007629395},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5845000147819519},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.5418999791145325},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4884999990463257},{"id":"https://openalex.org/C2777766583","wikidata":"https://www.wikidata.org/wiki/Q756568","display_name":"Digital signage","level":2,"score":0.45249998569488525},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.44429999589920044},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3677000105381012},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.3560999929904938},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3546999990940094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35249999165534973},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.32600000500679016},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.3133000135421753},{"id":"https://openalex.org/C2776004034","wikidata":"https://www.wikidata.org/wiki/Q1068755","display_name":"Check-in","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.2718000113964081},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2667999863624573},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C2776687071","wikidata":"https://www.wikidata.org/wiki/Q5265193","display_name":"Destinations","level":3,"score":0.2639000117778778},{"id":"https://openalex.org/C99821215","wikidata":"https://www.wikidata.org/wiki/Q1136583","display_name":"Swap (finance)","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C76178495","wikidata":"https://www.wikidata.org/wiki/Q4808784","display_name":"Asset (computer security)","level":2,"score":0.2540999948978424},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.2538999915122986},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.2535000145435333},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.16166","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.16166","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.16166","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.16166","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Humans":[0],"routinely":[1],"leverage":[2],"semantic":[3,50,85,122],"hints":[4,86],"provided":[5],"by":[6],"signage":[7,53,91,125],"to":[8,10,48,98],"navigate":[9],"destinations":[11],"within":[12,29],"novel":[13,39],"Large-Scale":[14],"Indoor":[15],"(LSI)":[16],"environments,":[17],"such":[18],"as":[19],"hospitals":[20],"and":[21,54,77,87,139,162],"airport":[22],"terminals.":[23],"However,":[24],"this":[25,68],"capability":[26],"remains":[27],"underexplored":[28],"the":[30,46,57,72,75,99,108,121,130,172],"field":[31],"of":[32,79,90,124,174],"embodied":[33,40],"navigation.":[34],"This":[35],"paper":[36],"introduces":[37],"a":[38,143],"navigation":[41],"task,":[42],"SignNav,":[43],"which":[44],"requires":[45],"agent":[47],"interpret":[49],"hint":[51,123],"from":[52],"reason":[55],"about":[56],"subsequent":[58],"action":[59],"based":[60],"on":[61,165],"current":[62,140],"observation.":[63,141],"To":[64,102],"facilitate":[65],"research":[66],"in":[67,92,177],"domain,":[69],"we":[70,106],"construct":[71],"LSI-Dataset":[73],"for":[74,114],"training":[76,145],"evaluation":[78],"various":[80],"SignNav":[81,100],"agents.":[82],"Dynamically":[83],"changing":[84],"sparse":[88],"placement":[89],"LSI":[93],"environments":[94],"present":[95],"significant":[96],"challenges":[97],"task.":[101],"address":[103],"these":[104],"challenges,":[105],"propose":[107],"Spatial-Temporal":[109],"Aware":[110],"Transformer":[111],"(START)":[112],"model":[113],"end-to-end":[115],"decision-making.":[116],"The":[117],"spatial-aware":[118],"module":[119,132],"grounds":[120],"into":[126],"physical":[127,178],"world,":[128],"while":[129],"temporal-aware":[131],"captures":[133],"long-range":[134],"dependencies":[135],"between":[136],"historical":[137],"states":[138],"Leveraging":[142],"two-stage":[144],"strategy":[146],"with":[147],"Dataset":[148],"Aggregation":[149],"(DAgger),":[150],"our":[151,175],"approach":[152],"achieves":[153],"state-of-the-art":[154],"performance,":[155],"recording":[156],"an":[157],"80%":[158],"Success":[159],"Rate":[160],"(SR)":[161],"0.74":[163],"NDTW":[164],"val-unseen":[166],"split.":[167],"Real-world":[168],"deployment":[169],"further":[170],"demonstrates":[171],"practicality":[173],"method":[176],"environment":[179],"without":[180],"pre-built":[181],"map.":[182]},"counts_by_year":[],"updated_date":"2026-03-20T20:54:20.808490","created_date":"2026-03-20T00:00:00"}
