{"id":"https://openalex.org/W4379741069","doi":"https://doi.org/10.23919/fruct58615.2023.10143057","title":"Vehicle Offline Localization Based on Computer Vision: an Approach Based on Image Matching Retrieval Algorithms and Implementation","display_name":"Vehicle Offline Localization Based on Computer Vision: an Approach Based on Image Matching Retrieval Algorithms and Implementation","publication_year":2023,"publication_date":"2023-05-24","ids":{"openalex":"https://openalex.org/W4379741069","doi":"https://doi.org/10.23919/fruct58615.2023.10143057"},"language":"en","primary_location":{"id":"doi:10.23919/fruct58615.2023.10143057","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/fruct58615.2023.10143057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 33rd Conference of Open Innovations Association (FRUCT)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","doaj"],"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/A5016499776","display_name":"Alexey Kashevnik","orcid":"https://orcid.org/0000-0001-6503-1447"},"institutions":[{"id":"https://openalex.org/I4210103400","display_name":"Saint - Petersburg State Chemical Pharmaceutical Academy","ror":"https://ror.org/01nrsdg41","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210103400"]},{"id":"https://openalex.org/I4210159028","display_name":"Saint-Petersburg Institute of History","ror":"https://ror.org/05ct5rw58","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210120960","https://openalex.org/I4210159028"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexey Kashevnik","raw_affiliation_strings":["SPC RAS,Saint Petersburg,Russia","SPC RAS, Saint Petersburg, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SPC RAS,Saint Petersburg,Russia","institution_ids":["https://openalex.org/I4210103400","https://openalex.org/I4210159028"]},{"raw_affiliation_string":"SPC RAS, Saint Petersburg, Russia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058367064","display_name":"Ammar Ali","orcid":"https://orcid.org/0000-0002-3073-9506"},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Ammar Ali","raw_affiliation_strings":["ITMO University,Saint Petersburg,Russia","ITMO University, Saint Petersburg, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITMO University,Saint Petersburg,Russia","institution_ids":["https://openalex.org/I173089394"]},{"raw_affiliation_string":"ITMO University, Saint Petersburg, Russia","institution_ids":["https://openalex.org/I173089394"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"125","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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":0.9998999834060669,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9984999895095825,"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":0.9977999925613403,"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/computer-science","display_name":"Computer science","score":0.806462287902832},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.7021759748458862},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.6964128017425537},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.652050793170929},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5772998929023743},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.5719902515411377},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5066354870796204},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4814847707748413},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.48065483570098877},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4570785164833069},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.422394335269928}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.806462287902832},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.7021759748458862},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6964128017425537},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.652050793170929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5772998929023743},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.5719902515411377},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5066354870796204},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4814847707748413},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.48065483570098877},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4570785164833069},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.422394335269928},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/fruct58615.2023.10143057","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/fruct58615.2023.10143057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 33rd Conference of Open Innovations Association (FRUCT)","raw_type":"proceedings-article"},{"id":"pmh:oai:doaj.org/article:f9aa4b64e851487db7a7a7ef54732fc6","is_oa":false,"landing_page_url":"https://doaj.org/article/f9aa4b64e851487db7a7a7ef54732fc6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 33, Iss 1, Pp 125-131 (2023)","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G8698007363","display_name":null,"funder_award_id":"18-71-10065","funder_id":"https://openalex.org/F4320324099","funder_display_name":"Russian Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320324099","display_name":"Russian Science Foundation","ror":"https://ror.org/03y2gwe85"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1604765850","https://openalex.org/W2085261163","https://openalex.org/W2133759223","https://openalex.org/W2290947383","https://openalex.org/W2535547924","https://openalex.org/W2946966373","https://openalex.org/W2948780138","https://openalex.org/W2989135423","https://openalex.org/W3008517613","https://openalex.org/W3034275286","https://openalex.org/W3034373437","https://openalex.org/W3037854993","https://openalex.org/W3100046297","https://openalex.org/W3102327032","https://openalex.org/W3130465612","https://openalex.org/W3166285241","https://openalex.org/W4206120224","https://openalex.org/W4210938782","https://openalex.org/W4221154336","https://openalex.org/W4226244084","https://openalex.org/W4306965365","https://openalex.org/W4386071839","https://openalex.org/W6780053115"],"related_works":["https://openalex.org/W3162200841","https://openalex.org/W2586280620","https://openalex.org/W2805505483","https://openalex.org/W2334071950","https://openalex.org/W2384744344","https://openalex.org/W4233932308","https://openalex.org/W1799694159","https://openalex.org/W2393169196","https://openalex.org/W2366610330","https://openalex.org/W4242143973"],"abstract_inverted_index":{"Driver":[0],"assistant":[1],"systems":[2],"have":[3],"approved":[4],"their":[5,17],"essential":[6],"role":[7],"in":[8,11,47,60,71,96],"increasing":[9],"safety":[10],"the":[12,21,29,33,45,53,64,74,91,94,109,113,119,126,130,141,153],"driving":[13],"environment.":[14],"One":[15],"of":[16,28,49,93,105,158],"main":[18,107],"features":[19],"is":[20,112,129],"ability":[22],"to":[23,40,51,117,138,151],"provide":[24],"information":[25,67],"about":[26],"location":[27,92,154],"vehicle":[30,95],"so":[31],"that":[32,88],"driver":[34],"can":[35,89],"understand":[36],"how":[37],"and":[38,63,121,135,145],"where":[39],"go.":[41],"Moreover,":[42],"automatically":[43],"report":[44],"emergency":[46],"case":[48],"accidents":[50],"accelerate":[52],"rescue":[54],"process.":[55],"Unfortunately,":[56],"poor":[57],"Internet":[58],"connection":[59],"many":[61],"places":[62],"inaccurate":[65],"GPS":[66],"on":[68],"traveling":[69],"roads,":[70],"particular,":[72],"make":[73],"localization":[75,86],"process":[76],"even":[77],"harder.":[78],"In":[79],"this":[80],"paper,":[81],"we":[82],"propose":[83],"an":[84,147],"offline":[85],"system":[87,103,150],"estimate":[90,118],"real-time":[97],"using":[98,155],"edge":[99],"devices.":[100],"Our":[101],"proposed":[102],"consists":[104],"three":[106],"components;":[108],"first":[110],"component":[111,128],"image":[114,148],"matching":[115],"part":[116],"rotation":[120],"transition":[122],"between":[123],"two":[124],"images;":[125],"second":[127],"dynamic":[131],"objects":[132],"(vehicles,":[133],"pedestrians,":[134],"etc.)":[136],"segmentation":[137],"filter":[139],"out":[140],"matches":[142],"from":[143],"them;":[144],"finally,":[146],"retrieval":[149],"auto-correct":[152],"predefined":[156],"coordinates":[157],"famous":[159],"landmarks.":[160]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}