{"id":"https://openalex.org/W4391988239","doi":"https://doi.org/10.1109/aipr60534.2023.10440690","title":"Landmark Stereo Dataset for Landmark Recognition and Moving Node Localization in a Non-GPS Battlefield Environment","display_name":"Landmark Stereo Dataset for Landmark Recognition and Moving Node Localization in a Non-GPS Battlefield Environment","publication_year":2023,"publication_date":"2023-09-27","ids":{"openalex":"https://openalex.org/W4391988239","doi":"https://doi.org/10.1109/aipr60534.2023.10440690"},"language":"en","primary_location":{"id":"doi:10.1109/aipr60534.2023.10440690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr60534.2023.10440690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2402.12320","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009954116","display_name":"Ganesh Sapkota","orcid":null},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ganesh Sapkota","raw_affiliation_strings":["Missouri University of Science and Technology,Department of Computer Science,Rolla,MO,USA"],"affiliations":[{"raw_affiliation_string":"Missouri University of Science and Technology,Department of Computer Science,Rolla,MO,USA","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012569039","display_name":"Sanjay Madria","orcid":"https://orcid.org/0000-0002-2768-3660"},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanjay Madria","raw_affiliation_strings":["Missouri University of Science and Technology,Department of Computer Science,Rolla,MO,USA"],"affiliations":[{"raw_affiliation_string":"Missouri University of Science and Technology,Department of Computer Science,Rolla,MO,USA","institution_ids":["https://openalex.org/I20382870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009954116"],"corresponding_institution_ids":["https://openalex.org/I20382870"],"apc_list":null,"apc_paid":null,"fwci":1.5228,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.89755978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994000196456909,"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":0.9994000196456909,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9968000054359436,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.979200005531311,"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/landmark","display_name":"Landmark","score":0.9663589596748352},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7199377417564392},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6930283904075623},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6826247572898865},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5768083333969116},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.5714973211288452},{"id":"https://openalex.org/keywords/battlefield","display_name":"Battlefield","score":0.45816877484321594},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10013458132743835}],"concepts":[{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.9663589596748352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7199377417564392},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6930283904075623},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6826247572898865},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5768083333969116},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.5714973211288452},{"id":"https://openalex.org/C2779669469","wikidata":"https://www.wikidata.org/wiki/Q4895508","display_name":"Battlefield","level":2,"score":0.45816877484321594},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10013458132743835},{"id":"https://openalex.org/C195244886","wikidata":"https://www.wikidata.org/wiki/Q41493","display_name":"Ancient history","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/aipr60534.2023.10440690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr60534.2023.10440690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2402.12320","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.12320","pdf_url":"https://arxiv.org/pdf/2402.12320","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2402.12320","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.12320","pdf_url":"https://arxiv.org/pdf/2402.12320","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391988239.pdf","grobid_xml":"https://content.openalex.org/works/W4391988239.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1612997784","https://openalex.org/W1970705800","https://openalex.org/W2101309634","https://openalex.org/W2117248802","https://openalex.org/W2141746519","https://openalex.org/W2166237942","https://openalex.org/W2317195580","https://openalex.org/W2320046825","https://openalex.org/W2461937780","https://openalex.org/W2535547924","https://openalex.org/W2730952500","https://openalex.org/W2780986210","https://openalex.org/W2963619659","https://openalex.org/W2969415073","https://openalex.org/W2991452413","https://openalex.org/W2999817948","https://openalex.org/W3121415632","https://openalex.org/W4292571954","https://openalex.org/W4315786291","https://openalex.org/W4324095595","https://openalex.org/W4386323822","https://openalex.org/W6608222087","https://openalex.org/W6680577056","https://openalex.org/W6950310954"],"related_works":["https://openalex.org/W2056853153","https://openalex.org/W2057559274","https://openalex.org/W2026924879","https://openalex.org/W2005087563","https://openalex.org/W2378111931","https://openalex.org/W2052388267","https://openalex.org/W2950647290","https://openalex.org/W1968481813","https://openalex.org/W2620829895","https://openalex.org/W2356918560"],"abstract_inverted_index":{"In":[0,218],"this":[1],"paper,":[2],"we":[3,221],"have":[4],"proposed":[5,53],"a":[6,17,44,48,75,79,85,96,119,169,216,232],"new":[7],"strategy":[8,54],"of":[9,16,28,95,135,193,215,231],"using":[10,58,66,189,234,244],"the":[11,23,41,59,101,114,144,166,172,175,180,185,198,202,206,212,229,241,245],"landmark":[12,56,63,121,128,132,138,173,194],"anchor":[13,19],"node":[14,20,77,170,233,242],"instead":[15],"radio-based":[18],"to":[21,171,227],"obtain":[22,228],"virtual":[24,213,225],"coordinates":[25,178,226],"(landmarkID,":[26],"DISTANCE)":[27],"moving":[29,76],"troops":[30,42],"or":[31],"defense":[32],"forces":[33],"that":[34,74,90],"will":[35,222],"help":[36],"in":[37,108],"tracking":[38],"and":[39,62,130,150,157,179,201,239],"maneuvering":[40],"along":[43],"safe":[45],"path":[46],"within":[47,100,113],"GPS-denied":[49],"battlefield":[50,102],"environment.":[51],"The":[52,191],"implements":[55],"recognition":[57],"Yolov5":[60],"model":[61,146],"distance":[64,167],"estimation":[65],"an":[67,109,235],"efficient":[68,236],"Stereo":[69],"Matching":[70],"Algorithm.":[71],"We":[72,117,142,164],"consider":[73],"carrying":[78],"low-power":[80],"mobile":[81],"device":[82,115],"facilitated":[83],"with":[84,126,147],"calibrated":[86],"stereo":[87,93,133],"vision":[88],"camera":[89],"can":[91],"capture":[92],"images":[94],"scene":[97],"containing":[98],"landmarks":[99],"region":[103],"whose":[104],"locations":[105],"are":[106],"stored":[107,210],"offline":[110],"server":[111],"residing":[112],"itself.":[116],"created":[118],"custom":[120],"image":[122],"dataset":[123,134,149],"called":[124,140],"MSTLandmarkv1":[125,148],"34":[127,137],"classes":[129],"another":[131],"those":[136],"instances":[139],"MSTLandmarkStereov1.":[141,190],"trained":[143],"YOLOv5":[145],"achieved":[151],"0.95":[152],"mAP":[153,159],"@":[154,160],"0.5":[155],"IoU":[156],"0.767":[158],"[0.5:":[161],"0.95]":[162],"IoU.":[163],"calculated":[165,204],"from":[168,197],"utilizing":[174],"bounding":[176],"box":[177],"depth":[181],"map":[182],"generated":[183],"by":[184,205],"improved":[186],"SGM":[187,207],"algorithm":[188,208,238],"tuple":[192],"IDs":[195],"obtained":[196],"detection":[199],"result":[200],"distances":[203],"is":[209],"as":[211],"coordinate":[214],"node.":[217],"future":[219],"work,":[220],"use":[223],"these":[224],"location":[230],"trilateration":[237],"optimize":[240],"position":[243],"appropriate":[246],"optimization":[247],"method.":[248]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
