{"id":"https://openalex.org/W4392946158","doi":"https://doi.org/10.1186/s13634-024-01112-8","title":"AGV monocular vision localization algorithm based on Gaussian saliency heuristic","display_name":"AGV monocular vision localization algorithm based on Gaussian saliency heuristic","publication_year":2024,"publication_date":"2024-03-19","ids":{"openalex":"https://openalex.org/W4392946158","doi":"https://doi.org/10.1186/s13634-024-01112-8"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-024-01112-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-024-01112-8","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01112-8","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01112-8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100616587","display_name":"Heng Fu","orcid":"https://orcid.org/0009-0000-8827-8143"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Heng Fu","raw_affiliation_strings":["Anyang Cigarette Factory of Henan China Tobacco Industry Co., Ltd, Anyang, 455000, China"],"affiliations":[{"raw_affiliation_string":"Anyang Cigarette Factory of Henan China Tobacco Industry Co., Ltd, Anyang, 455000, China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101319952","display_name":"Yakai Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yakai Hu","raw_affiliation_strings":["Anyang Cigarette Factory of Henan China Tobacco Industry Co., Ltd, Anyang, 455000, China"],"affiliations":[{"raw_affiliation_string":"Anyang Cigarette Factory of Henan China Tobacco Industry Co., Ltd, Anyang, 455000, China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100930067","display_name":"Zhao Shuhua","orcid":null},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhua Zhao","raw_affiliation_strings":["Anyang Cigarette Factory of Henan China Tobacco Industry Co., Ltd, Anyang, 455000, China"],"affiliations":[{"raw_affiliation_string":"Anyang Cigarette Factory of Henan China Tobacco Industry Co., Ltd, Anyang, 455000, China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101553601","display_name":"Jianxin Zhu","orcid":"https://orcid.org/0000-0002-1595-5905"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxin Zhu","raw_affiliation_strings":["Anyang Cigarette Factory of Henan China Tobacco Industry Co., Ltd, Anyang, 455000, China"],"affiliations":[{"raw_affiliation_string":"Anyang Cigarette Factory of Henan China Tobacco Industry Co., Ltd, Anyang, 455000, China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103196126","display_name":"Benxue Liu","orcid":"https://orcid.org/0000-0002-4110-0513"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Benxue Liu","raw_affiliation_strings":["Zhengzhou University, Zhengzhou, 450001, China"],"affiliations":[{"raw_affiliation_string":"Zhengzhou University, Zhengzhou, 450001, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100354830","display_name":"Zhen Yang","orcid":"https://orcid.org/0009-0002-5594-4546"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Yang","raw_affiliation_strings":["Zhengzhou University, Zhengzhou, 450001, China"],"affiliations":[{"raw_affiliation_string":"Zhengzhou University, Zhengzhou, 450001, China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100616587"],"corresponding_institution_ids":["https://openalex.org/I2800556661"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.7201,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71621876,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"2024","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9273999929428101,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9273999929428101,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9075999855995178,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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":0.7940508127212524},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7088127136230469},{"id":"https://openalex.org/keywords/header","display_name":"Header","score":0.5667321681976318},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.552692711353302},{"id":"https://openalex.org/keywords/monocular-vision","display_name":"Monocular vision","score":0.5487259030342102},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5104998350143433},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4855175018310547},{"id":"https://openalex.org/keywords/gaussian-network-model","display_name":"Gaussian network model","score":0.4761750102043152},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.42743125557899475},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.42586684226989746},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.4229905903339386},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.382554292678833}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7940508127212524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7088127136230469},{"id":"https://openalex.org/C48105269","wikidata":"https://www.wikidata.org/wiki/Q1141160","display_name":"Header","level":2,"score":0.5667321681976318},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.552692711353302},{"id":"https://openalex.org/C158829959","wikidata":"https://www.wikidata.org/wiki/Q1640606","display_name":"Monocular vision","level":2,"score":0.5487259030342102},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5104998350143433},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4855175018310547},{"id":"https://openalex.org/C166550679","wikidata":"https://www.wikidata.org/wiki/Q263400","display_name":"Gaussian network model","level":3,"score":0.4761750102043152},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.42743125557899475},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.42586684226989746},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.4229905903339386},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.382554292678833},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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":2,"locations":[{"id":"doi:10.1186/s13634-024-01112-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-024-01112-8","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01112-8","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:03ee945bb18747fea769d7c1869b9d86","is_oa":true,"landing_page_url":"https://doaj.org/article/03ee945bb18747fea769d7c1869b9d86","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-15 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13634-024-01112-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-024-01112-8","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01112-8","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320325433","display_name":"China National Tobacco Corporation","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392946158.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1620922690","https://openalex.org/W1991544872","https://openalex.org/W2005832456","https://openalex.org/W2102605133","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2798885736","https://openalex.org/W2884561390","https://openalex.org/W2962992847","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W3015788359","https://openalex.org/W3034971973","https://openalex.org/W3095072049","https://openalex.org/W3106250896","https://openalex.org/W3210586215","https://openalex.org/W4206807177","https://openalex.org/W4212992056","https://openalex.org/W4220953127","https://openalex.org/W4225361503","https://openalex.org/W4226066651","https://openalex.org/W4292387496","https://openalex.org/W4312552831","https://openalex.org/W6836371346"],"related_works":["https://openalex.org/W3213997683","https://openalex.org/W2995270189","https://openalex.org/W2084124712","https://openalex.org/W2435467664","https://openalex.org/W2091635186","https://openalex.org/W4381188157","https://openalex.org/W4251947321","https://openalex.org/W2011626633","https://openalex.org/W2037866696","https://openalex.org/W2027891072"],"abstract_inverted_index":{"Abstract":[0],"To":[1,80],"address":[2],"the":[3,10,54,67,74,82,98,116,144,150,154],"issues":[4],"of":[5,13,84,100,111,118],"poor":[6],"detection":[7,15,24,49,92,128,136,141,146,163],"accuracy":[8,83,117,129],"and":[9,45,91,130,160],"large":[11],"number":[12],"target":[14,85,101,109,119],"model":[16,78],"parameters":[17],"in":[18,127,135],"existing":[19,140],"AGV":[20,30,47],"monocular":[21],"vision":[22,31],"location":[23,32],"algorithms,":[25],"this":[26],"paper":[27],"presents":[28],"an":[29],"method":[33,41],"based":[34],"on":[35,158],"Gaussian":[36,58],"saliency":[37,59],"heuristic.":[38],"The":[39],"proposed":[40,145],"introduces":[42],"a":[43,57,87,124,131],"fast":[44],"accurate":[46],"visual":[48],"network":[50,147,155],"called":[51],"GAGV-net.":[52],"In":[53],"GAGV-net":[55],"network,":[56],"feature":[60,69],"extraction":[61,70],"module":[62],"is":[63],"designed":[64,96],"to":[65,104,139],"enhance":[66],"network\u2019s":[68],"capability,":[71],"thereby":[72,114],"reducing":[73],"required":[75],"output":[76],"for":[77],"fitting.":[79],"improve":[81],"detection,":[86],"joint":[88],"multi-scale":[89],"classification":[90],"task":[93],"header":[94,107],"are":[95],"at":[97],"stage":[99],"frame":[102],"regression":[103],"classification.":[105],"This":[106],"utilizes":[108],"features":[110],"different":[112],"scales,":[113],"enhancing":[115],"detection.":[120],"Experimental":[121],"results":[122],"demonstrate":[123],"12%":[125],"improvement":[126],"27.38":[132],"FPS":[133],"increase":[134],"speed":[137],"compared":[138],"methods.":[142],"Moreover,":[143],"significantly":[148],"reduces":[149],"model\u2019s":[151,156],"size,":[152],"enhances":[153],"deployability":[157],"AGVs,":[159],"greatly":[161],"improves":[162],"accuracy.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-17T17:19:04.345684","created_date":"2025-10-10T00:00:00"}