{"id":"https://openalex.org/W4200166436","doi":"https://doi.org/10.1109/iros51168.2021.9636172","title":"Grounding Linguistic Commands to Navigable Regions","display_name":"Grounding Linguistic Commands to Navigable Regions","publication_year":2021,"publication_date":"2021-09-27","ids":{"openalex":"https://openalex.org/W4200166436","doi":"https://doi.org/10.1109/iros51168.2021.9636172"},"language":"en","primary_location":{"id":"doi:10.1109/iros51168.2021.9636172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros51168.2021.9636172","pdf_url":null,"source":{"id":"https://openalex.org/S4363607734","display_name":"2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2112.13031","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073016644","display_name":"N. Herald Anantha Rufus","orcid":"https://orcid.org/0000-0003-0965-2796"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Nivedita Rufus","raw_affiliation_strings":["KCIS, International Institute of Information Technology, Hyderabad"],"affiliations":[{"raw_affiliation_string":"KCIS, International Institute of Information Technology, Hyderabad","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002884004","display_name":"Kanishk Jain","orcid":"https://orcid.org/0009-0001-0333-9494"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kanishk Jain","raw_affiliation_strings":["KCIS, International Institute of Information Technology, Hyderabad"],"affiliations":[{"raw_affiliation_string":"KCIS, International Institute of Information Technology, Hyderabad","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088577409","display_name":"Unni Krishnan R Nair","orcid":null},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Unni Krishnan R Nair","raw_affiliation_strings":["KCIS, International Institute of Information Technology, Hyderabad"],"affiliations":[{"raw_affiliation_string":"KCIS, International Institute of Information Technology, Hyderabad","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067298540","display_name":"Vineet Gandhi","orcid":"https://orcid.org/0000-0001-8861-7731"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vineet Gandhi","raw_affiliation_strings":["KCIS, International Institute of Information Technology, Hyderabad"],"affiliations":[{"raw_affiliation_string":"KCIS, International Institute of Information Technology, Hyderabad","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075816776","display_name":"K. Madhava Krishna","orcid":"https://orcid.org/0000-0001-7846-7901"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K Madhava Krishna","raw_affiliation_strings":["KCIS, International Institute of Information Technology, Hyderabad"],"affiliations":[{"raw_affiliation_string":"KCIS, International Institute of Information Technology, Hyderabad","institution_ids":["https://openalex.org/I64189192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5073016644"],"corresponding_institution_ids":["https://openalex.org/I64189192"],"apc_list":null,"apc_paid":null,"fwci":0.4599,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75769726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"8593","last_page":"8600"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9940999746322632,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7616814970970154},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.574151337146759},{"id":"https://openalex.org/keywords/ground","display_name":"Ground","score":0.560766875743866},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5306167602539062},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5171800851821899},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5041266679763794},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.497821569442749},{"id":"https://openalex.org/keywords/planner","display_name":"Planner","score":0.477181077003479},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45127928256988525},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.43839210271835327},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3661319315433502},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.13467463850975037},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11218300461769104},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11120840907096863}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7616814970970154},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.574151337146759},{"id":"https://openalex.org/C168993435","wikidata":"https://www.wikidata.org/wiki/Q6501125","display_name":"Ground","level":2,"score":0.560766875743866},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5306167602539062},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5171800851821899},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5041266679763794},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.497821569442749},{"id":"https://openalex.org/C2776999362","wikidata":"https://www.wikidata.org/wiki/Q2349274","display_name":"Planner","level":2,"score":0.477181077003479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45127928256988525},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.43839210271835327},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3661319315433502},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.13467463850975037},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11218300461769104},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11120840907096863},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iros51168.2021.9636172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros51168.2021.9636172","pdf_url":null,"source":{"id":"https://openalex.org/S4363607734","display_name":"2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2112.13031","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2112.13031","pdf_url":"https://arxiv.org/pdf/2112.13031","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2112.13031","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2112.13031","pdf_url":"https://arxiv.org/pdf/2112.13031","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4099999964237213}],"awards":[],"funders":[{"id":"https://openalex.org/F4320308258","display_name":"Qualcomm","ror":"https://ror.org/002zrf773"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1773149199","https://openalex.org/W2247513039","https://openalex.org/W2250539671","https://openalex.org/W2302548814","https://openalex.org/W2412782625","https://openalex.org/W2605127024","https://openalex.org/W2737607256","https://openalex.org/W2894964039","https://openalex.org/W2963037989","https://openalex.org/W2963477323","https://openalex.org/W2964309882","https://openalex.org/W2964935470","https://openalex.org/W2970603850","https://openalex.org/W2998012869","https://openalex.org/W3003954087","https://openalex.org/W3013376041","https://openalex.org/W3034325957","https://openalex.org/W3096609285","https://openalex.org/W3098232790","https://openalex.org/W3104529101","https://openalex.org/W3107209377","https://openalex.org/W3108748824","https://openalex.org/W3118496868","https://openalex.org/W3127239200","https://openalex.org/W4293657181","https://openalex.org/W6741457941","https://openalex.org/W6748481559","https://openalex.org/W6751820210","https://openalex.org/W6778485988"],"related_works":["https://openalex.org/W1568779110","https://openalex.org/W804484174","https://openalex.org/W4244698559","https://openalex.org/W4246538999","https://openalex.org/W2378211422","https://openalex.org/W56933075","https://openalex.org/W2002361198","https://openalex.org/W2168364913","https://openalex.org/W1548568597","https://openalex.org/W2482749251"],"abstract_inverted_index":{"Humans":[0],"have":[1],"a":[2,102,108,138,183],"natural":[3,96],"ability":[4,32],"to":[5,14,33,50,93,112,119,127,170],"effortlessly":[6],"comprehend":[7],"linguistic":[8,76,158],"commands":[9,167],"such":[10],"as":[11],"\u201cpark":[12,110],"next":[13,38,111],"the":[15,24,26,37,58,75,95,113,121,129,134,144,153,157,172,179,212,215],"yellow":[16,114],"sedan\u201d":[17],"and":[18,47,124,191],"instinctively":[19],"know":[20],"which":[21,86,142],"region":[22,132],"of":[23,61,69,100,174,214],"road":[25],"vehicle":[27],"should":[28],"navigate.":[29],"Extending":[30],"this":[31,54],"autonomous":[34,43],"vehicles":[35],"is":[36,79,168],"step":[39],"towards":[40],"creating":[41],"fully":[42],"agents":[44],"that":[45],"respond":[46],"act":[48],"according":[49],"human":[51],"commands.":[52,159],"To":[53],"end,":[55],"we":[56],"propose":[57],"novel":[59,184],"task":[60],"Referring":[62,82],"Navigable":[63],"Regions":[64],"(RNR),":[65],"i.e.,":[66],"grounding":[67,89,101],"regions":[68,154],"interest":[70],"for":[71,107,152],"navigation":[72],"based":[73,207],"on":[74,88,133,197,208],"command.":[77],"RNR":[78,125,209],"different":[80],"from":[81],"Image":[83],"Segmentation":[84],"(RIS),":[85],"focuses":[87],"an":[90],"object":[91],"referred":[92,122],"by":[94,156],"language":[97],"expression":[98],"instead":[99],"navigable":[103],"region.":[104],"For":[105],"example,":[106],"command":[109],"sedan,\u201d":[115],"RIS":[116],"will":[117],"aim":[118],"segment":[120,128],"sedan,":[123],"aims":[126],"suggested":[130],"parking":[131],"road.":[135],"We":[136,177,187],"introduce":[137],"new":[139],"dataset,":[140],"Talk2Car-RegSeg,":[141],"extends":[143],"existing":[145],"Talk2car":[146],"[1]":[147],"dataset":[148,181],"with":[149,164],"segmentation":[150],"masks":[151],"described":[155],"A":[160,201],"separate":[161],"test":[162],"split":[163],"concise":[165],"manoeuvre-oriented":[166],"provided":[169],"assess":[171],"practicality":[173],"our":[175],"dataset.":[176],"benchmark":[178],"proposed":[180,216],"using":[182],"transformer-based":[185],"architecture.":[186],"present":[188],"extensive":[189],"ablations":[190],"show":[192],"superior":[193],"performance":[194],"over":[195],"baselines":[196],"multiple":[198],"evaluation":[199],"metrics.":[200],"downstream":[202],"path":[203],"planner":[204],"generating":[205],"trajectories":[206],"outputs":[210],"confirms":[211],"efficacy":[213],"framework.":[217]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
