{"id":"https://openalex.org/W4322710741","doi":"https://doi.org/10.1109/ipas55744.2022.10053071","title":"A novel license plate detection based Time-To-Collision calculation for forward collision warning using Azure Kinect","display_name":"A novel license plate detection based Time-To-Collision calculation for forward collision warning using Azure Kinect","publication_year":2022,"publication_date":"2022-12-05","ids":{"openalex":"https://openalex.org/W4322710741","doi":"https://doi.org/10.1109/ipas55744.2022.10053071"},"language":"en","primary_location":{"id":"doi:10.1109/ipas55744.2022.10053071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas55744.2022.10053071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 5th International Conference on Image Processing Applications and Systems (IPAS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1109/IPAS55744.2022.10053071","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054868453","display_name":"Zhouyan Qiu","orcid":"https://orcid.org/0000-0002-0557-3065"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Zhouyan Qiu","raw_affiliation_strings":["CINTECX, Universidade de Vigo, Ingenier&#x00ED; a Insitu,Applied Geotechnology Group,ICT &#x0026; Innovation Department,Vigo,Spain"],"raw_orcid":"https://orcid.org/0000-0002-0557-3065","affiliations":[{"raw_affiliation_string":"CINTECX, Universidade de Vigo, Ingenier&#x00ED; a Insitu,Applied Geotechnology Group,ICT &#x0026; Innovation Department,Vigo,Spain","institution_ids":["https://openalex.org/I6289922"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013978713","display_name":"Joaqu\u00edn Mart\u00ednez-S\u00e1nchez","orcid":"https://orcid.org/0000-0003-0320-4191"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Joaqu\u00edn Mart\u00ednez-S\u00e1nchez","raw_affiliation_strings":["CINTECX, Universidade de Vigo,Applied Geotechnology Group,Vigo,Spain","Applied Geotechnology Group, CINTECX, Universidade de Vigo, Vigo, Spain"],"raw_orcid":"https://orcid.org/0000-0003-0320-4191","affiliations":[{"raw_affiliation_string":"CINTECX, Universidade de Vigo,Applied Geotechnology Group,Vigo,Spain","institution_ids":["https://openalex.org/I6289922"]},{"raw_affiliation_string":"Applied Geotechnology Group, CINTECX, Universidade de Vigo, Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002336145","display_name":"Pedro Arias","orcid":"https://orcid.org/0000-0002-3547-8907"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pedro Arias","raw_affiliation_strings":["CINTECX, Universidade de Vigo,Applied Geotechnology Group,Vigo,Spain","Applied Geotechnology Group, CINTECX, Universidade de Vigo, Vigo, Spain"],"raw_orcid":"https://orcid.org/0000-0002-3547-8907","affiliations":[{"raw_affiliation_string":"CINTECX, Universidade de Vigo,Applied Geotechnology Group,Vigo,Spain","institution_ids":["https://openalex.org/I6289922"]},{"raw_affiliation_string":"Applied Geotechnology Group, CINTECX, Universidade de Vigo, Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1568,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4661366,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998999834060669,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/collision","display_name":"Collision","score":0.7102023363113403},{"id":"https://openalex.org/keywords/license","display_name":"License","score":0.686577320098877},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.633269190788269},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5914502143859863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5706255435943604},{"id":"https://openalex.org/keywords/front","display_name":"Front (military)","score":0.5621969103813171},{"id":"https://openalex.org/keywords/relative-velocity","display_name":"Relative velocity","score":0.544017493724823},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5359533429145813},{"id":"https://openalex.org/keywords/collision-avoidance-system","display_name":"Collision avoidance system","score":0.43179407715797424},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4316122531890869},{"id":"https://openalex.org/keywords/collision-detection","display_name":"Collision detection","score":0.4211612045764923},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.35653460025787354},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3337457776069641},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.2939029932022095},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23377400636672974},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09348466992378235},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.06747794151306152}],"concepts":[{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.7102023363113403},{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.686577320098877},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.633269190788269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5914502143859863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5706255435943604},{"id":"https://openalex.org/C2777551076","wikidata":"https://www.wikidata.org/wiki/Q842332","display_name":"Front (military)","level":2,"score":0.5621969103813171},{"id":"https://openalex.org/C56498450","wikidata":"https://www.wikidata.org/wiki/Q1376323","display_name":"Relative velocity","level":2,"score":0.544017493724823},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5359533429145813},{"id":"https://openalex.org/C2777016798","wikidata":"https://www.wikidata.org/wiki/Q2001988","display_name":"Collision avoidance system","level":4,"score":0.43179407715797424},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4316122531890869},{"id":"https://openalex.org/C199668693","wikidata":"https://www.wikidata.org/wiki/Q1550329","display_name":"Collision detection","level":3,"score":0.4211612045764923},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.35653460025787354},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3337457776069641},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.2939029932022095},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23377400636672974},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09348466992378235},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.06747794151306152},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ipas55744.2022.10053071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas55744.2022.10053071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 5th International Conference on Image Processing Applications and Systems (IPAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:13302401","is_oa":true,"landing_page_url":"https://doi.org/10.1109/IPAS55744.2022.10053071","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IPAS, 2022 IEEE 5th International Conference on Image Processing Applications and Systems, Genova, Italy, 05-07 December 2022","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:13302401","is_oa":true,"landing_page_url":"https://doi.org/10.1109/IPAS55744.2022.10053071","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IPAS, 2022 IEEE 5th International Conference on Image Processing Applications and Systems, Genova, Italy, 05-07 December 2022","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W34664498","https://openalex.org/W1588876236","https://openalex.org/W1589841506","https://openalex.org/W1991084701","https://openalex.org/W2089974878","https://openalex.org/W2559982173","https://openalex.org/W3119523940","https://openalex.org/W3160213163","https://openalex.org/W4205104450","https://openalex.org/W4283748547","https://openalex.org/W4386076325"],"related_works":["https://openalex.org/W3138645172","https://openalex.org/W2148917807","https://openalex.org/W2257960210","https://openalex.org/W2028510469","https://openalex.org/W913501818","https://openalex.org/W4379525781","https://openalex.org/W1987135480","https://openalex.org/W2909508805","https://openalex.org/W1994487040","https://openalex.org/W2059408607"],"abstract_inverted_index":{"Forward":[0],"Collision":[1],"Warning":[2],"(FCW)":[3],"system":[4,130],"constantly":[5],"measures":[6],"the":[7,11,40,65,69,72,76,83,88,93,97,103,108,112,127,143],"relative":[8,94,135],"position":[9],"of":[10,64,96,122,133],"vehicle":[12,42,74,78,98],"ahead":[13],"and":[14,24,75,111,137],"then":[15],"predicts":[16],"collisions.":[17],"This":[18],"paper":[19],"proposes":[20],"a":[21,31,49,119],"new":[22],"cost-effective":[23],"computationally":[25],"efficient":[26],"FCW":[27,129],"method":[28],"that":[29],"uses":[30],"time-of-flight":[32,89],"(ToF)":[33],"camera":[34,113],"to":[35,39,55,59],"measure":[36],"relevant":[37],"distances":[38,136],"front":[41,63,73],"based":[43],"on":[44],"license":[45,57,109],"plate":[46,110],"detection.":[47],"First,":[48],"Yolo":[50],"V7":[51],"model":[52],"is":[53,79,131],"used":[54],"detect":[56],"plates":[58],"identify":[60],"vehicles":[61],"in":[62,142],"ego":[66,77],"vehicle.":[67],"Second,":[68],"distance":[70,105],"between":[71,107,114],"determined":[80],"by":[81,87,102],"analyzing":[82],"captured":[84],"depth":[85],"map":[86],"camera.":[90],"In":[91],"addition,":[92],"speed":[95,121],"can":[99],"be":[100],"calculated":[101],"direct":[104],"change":[106],"two":[115],"consecutive":[116],"frames.":[117],"With":[118],"processing":[120],"25\u201330":[123],"frames":[124],"per":[125],"second,":[126],"proposed":[128],"capable":[132],"determining":[134],"speeds":[138],"within":[139],"26":[140],"meters":[141],"real-time.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
