{"id":"https://openalex.org/W4411049812","doi":"https://doi.org/10.1061/jccee5.cpeng-6376","title":"Leveraging Open-Vocabulary Object Detection in Goal-Oriented Navigation for Assessing Indoor Energy\u2013Intensive Devices","display_name":"Leveraging Open-Vocabulary Object Detection in Goal-Oriented Navigation for Assessing Indoor Energy\u2013Intensive Devices","publication_year":2025,"publication_date":"2025-06-06","ids":{"openalex":"https://openalex.org/W4411049812","doi":"https://doi.org/10.1061/jccee5.cpeng-6376"},"language":"en","primary_location":{"id":"doi:10.1061/jccee5.cpeng-6376","is_oa":false,"landing_page_url":"https://doi.org/10.1061/jccee5.cpeng-6376","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-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/A5087038242","display_name":"Weijia Cai","orcid":"https://orcid.org/0000-0003-4758-2442"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weijia Cai","raw_affiliation_strings":["Columbia Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia Univ","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100784431","display_name":"Lei Huang","orcid":"https://orcid.org/0000-0003-4760-7064"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Huang","raw_affiliation_strings":["Columbia Univ"],"raw_orcid":"https://orcid.org/0000-0003-4760-7064","affiliations":[{"raw_affiliation_string":"Columbia Univ","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001924431","display_name":"Zhengbo Zou","orcid":"https://orcid.org/0000-0002-7789-655X"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengbo Zou","raw_affiliation_strings":["Columbia Univ"],"raw_orcid":"https://orcid.org/0000-0002-7789-655X","affiliations":[{"raw_affiliation_string":"Columbia Univ","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":2.2966,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.88417878,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"39","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9878000020980835,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9878000020980835,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9527999758720398,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.947700023651123,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/computer-science","display_name":"Computer science","score":0.6314183473587036},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.47177600860595703},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4666718542575836},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42373722791671753},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.4152306616306305},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3416786193847656},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3404950499534607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2939203977584839},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.29383352398872375}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6314183473587036},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.47177600860595703},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4666718542575836},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42373722791671753},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.4152306616306305},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3416786193847656},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3404950499534607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2939203977584839},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29383352398872375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"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":[{"id":"doi:10.1061/jccee5.cpeng-6376","is_oa":false,"landing_page_url":"https://doi.org/10.1061/jccee5.cpeng-6376","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":98,"referenced_works":["https://openalex.org/W142415062","https://openalex.org/W639708223","https://openalex.org/W1560270123","https://openalex.org/W1677409904","https://openalex.org/W1684737195","https://openalex.org/W1808719935","https://openalex.org/W1912327835","https://openalex.org/W2026707863","https://openalex.org/W2037174685","https://openalex.org/W2076796478","https://openalex.org/W2079697937","https://openalex.org/W2092658500","https://openalex.org/W2107667896","https://openalex.org/W2108598243","https://openalex.org/W2108739153","https://openalex.org/W2117211893","https://openalex.org/W2145023731","https://openalex.org/W2146881125","https://openalex.org/W2151049413","https://openalex.org/W2166471602","https://openalex.org/W2169781427","https://openalex.org/W2212786010","https://openalex.org/W2528934273","https://openalex.org/W2609731728","https://openalex.org/W2612690371","https://openalex.org/W2613663377","https://openalex.org/W2621274416","https://openalex.org/W2754029504","https://openalex.org/W2771728020","https://openalex.org/W2786918196","https://openalex.org/W2793187686","https://openalex.org/W2803119246","https://openalex.org/W2896457183","https://openalex.org/W2898231767","https://openalex.org/W2901136733","https://openalex.org/W2916679149","https://openalex.org/W2942619905","https://openalex.org/W2950989657","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2966715458","https://openalex.org/W2983232213","https://openalex.org/W2990138404","https://openalex.org/W3001434439","https://openalex.org/W3012118145","https://openalex.org/W3013406096","https://openalex.org/W3036240322","https://openalex.org/W3099362956","https://openalex.org/W3102477513","https://openalex.org/W3104842437","https://openalex.org/W3107521863","https://openalex.org/W3107826490","https://openalex.org/W3111685113","https://openalex.org/W3131673036","https://openalex.org/W3134025030","https://openalex.org/W3135367836","https://openalex.org/W3145450063","https://openalex.org/W3173859428","https://openalex.org/W3175074116","https://openalex.org/W3190403087","https://openalex.org/W3199997790","https://openalex.org/W3200063923","https://openalex.org/W3206072662","https://openalex.org/W3207039731","https://openalex.org/W3207581717","https://openalex.org/W4200059648","https://openalex.org/W4200079766","https://openalex.org/W4200145141","https://openalex.org/W4223892997","https://openalex.org/W4226182655","https://openalex.org/W4232855736","https://openalex.org/W4243425824","https://openalex.org/W4280513099","https://openalex.org/W4285792175","https://openalex.org/W4291121098","https://openalex.org/W4298012430","https://openalex.org/W4309088836","https://openalex.org/W4310881526","https://openalex.org/W4312253995","https://openalex.org/W4312424618","https://openalex.org/W4313156423","https://openalex.org/W4360966370","https://openalex.org/W4364374364","https://openalex.org/W4375861796","https://openalex.org/W4377102782","https://openalex.org/W4378648241","https://openalex.org/W4381249600","https://openalex.org/W4383108296","https://openalex.org/W4384296060","https://openalex.org/W4386083015","https://openalex.org/W4386435815","https://openalex.org/W4387724762","https://openalex.org/W4388347064","https://openalex.org/W4390872928","https://openalex.org/W4400458477","https://openalex.org/W4404612908","https://openalex.org/W6739901393","https://openalex.org/W6778883912"],"related_works":["https://openalex.org/W2349784553","https://openalex.org/W3022596247","https://openalex.org/W2601444686","https://openalex.org/W4307058054","https://openalex.org/W4292238148","https://openalex.org/W4323660495","https://openalex.org/W2385319785","https://openalex.org/W2900827440","https://openalex.org/W3167549738","https://openalex.org/W2381983017"],"abstract_inverted_index":{"Energy":[0],"auditing":[1,248],"is":[2],"crucial":[3],"to":[4,64,72,143,152,184,221,249],"improve":[5],"energy":[6,18,32,47,94,247],"efficiency":[7],"in":[8,58,96,164,173,202,226,231],"buildings.":[9],"This":[10,109],"paper":[11],"focuses":[12],"on":[13,22,156,253],"the":[14,42,90,160],"initial":[15,91,244],"stage":[16],"of":[17,29,46,93,106,246],"auditing:":[19],"collecting":[20],"data":[21,35,162],"energy-intensive":[23,107,146,176],"devices,":[24],"which":[25,191],"account":[26],"for":[27,37,80,88,120,125,131,243],"20%":[28],"major":[30],"building":[31,254],"consumption.":[33],"Manual":[34],"collection":[36],"these":[38],"devices":[39,147],"significantly":[40],"increases":[41],"workload":[43],"and":[44,53,103,117,128,151],"duration":[45],"audits":[48,95],"because":[49],"it":[50],"involves":[51],"identifying":[52],"localizing":[54],"various":[55],"device":[56],"types":[57],"unknown":[59],"environments.":[60],"Existing":[61],"robotic":[62,86],"approaches":[63],"automate":[65],"this":[66],"process":[67],"are":[68],"either":[69],"not":[70],"scalable":[71],"unseen":[73],"objects":[74],"or":[75],"lack":[76],"effective":[77],"exploration":[78],"strategies":[79],"object":[81],"localization.":[82],"We":[83],"present":[84],"a":[85,122,129,137,179,185,213,239],"system":[87,110,135,255],"automating":[89],"step":[92],"indoor":[97],"environments,":[98,229],"aimed":[99],"at":[100],"efficient":[101],"navigation":[102],"precise":[104],"localization":[105,116],"devices.":[108],"integrates":[111],"an":[112,169,199,218,232],"RGB-D":[113,219],"SLAM":[114],"(simultaneous":[115],"mapping)":[118],"module":[119],"mapping,":[121],"Relevance":[123,189],"Mapper":[124],"goal-oriented":[126],"exploration,":[127],"Navigator":[130],"path":[132],"planning.":[133],"The":[134],"uses":[136],"pretrained":[138],"open-vocabulary":[139],"semantic":[140],"segmentation":[141],"model":[142],"identify":[144],"human-queried,":[145],"without":[148,188],"additional":[149],"training":[150],"optimize":[153],"exploration.":[154],"Tested":[155],"12":[157],"buildings":[158,204],"from":[159],"HM3D":[161],"set":[163],"simulation,":[165],"our":[166,196,223],"approach":[167,197],"demonstrates":[168],"improved":[170],"success":[171,181,234],"rate":[172],"detecting":[174],"targeted":[175],"objects,":[177],"achieving":[178],"73.38%":[180],"rate,":[182],"compared":[183],"control":[186],"group":[187],"Mapper,":[190],"only":[192],"reached":[193],"67.38%.":[194],"Notably,":[195],"shows":[198],"evident":[200],"improvement":[201],"large-scale":[203],"by":[205],"12%.":[206],"Furthermore,":[207],"we":[208],"conducted":[209],"real-world":[210,228],"tests":[211],"with":[212,217],"quadruped":[214],"robot":[215],"equipped":[216],"camera":[220],"validate":[222],"system\u2019s":[224],"effectiveness":[225],"complex":[227],"resulting":[230],"86.67%":[233],"rate.":[235],"Our":[236],"method":[237],"offers":[238],"scalable,":[240],"cost-effective":[241],"solution":[242],"steps":[245],"facilitate":[250],"informed":[251],"decisions":[252],"retrofitting.":[256]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
