{"id":"https://openalex.org/W4391129316","doi":"https://doi.org/10.1109/iccp60212.2023.10398722","title":"Optimized Pallet Localization Using RGB-D Camera and Deep Learning Models","display_name":"Optimized Pallet Localization Using RGB-D Camera and Deep Learning Models","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4391129316","doi":"https://doi.org/10.1109/iccp60212.2023.10398722"},"language":"en","primary_location":{"id":"doi:10.1109/iccp60212.2023.10398722","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iccp60212.2023.10398722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th International Conference on Intelligent Computer Communication and Processing (ICCP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5088457412","display_name":"\u00c9lisson da Silva Rocha","orcid":"https://orcid.org/0000-0002-7742-2995"},"institutions":[{"id":"https://openalex.org/I1329807341","display_name":"Servi\u00e7o Nacional de Aprendizagem Industrial","ror":"https://ror.org/035c3nf67","country_code":"BR","type":"nonprofit","lineage":["https://openalex.org/I1329807341"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Elisson Da Silva Rocha","raw_affiliation_strings":["ISI-TICs - SENAI Innovation Institute for Information and Communication Technologies"],"affiliations":[{"raw_affiliation_string":"ISI-TICs - SENAI Innovation Institute for Information and Communication Technologies","institution_ids":["https://openalex.org/I1329807341"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010179490","display_name":"S\u00e9rgio F. Chevtchenko","orcid":"https://orcid.org/0000-0001-8283-5578"},"institutions":[{"id":"https://openalex.org/I1329807341","display_name":"Servi\u00e7o Nacional de Aprendizagem Industrial","ror":"https://ror.org/035c3nf67","country_code":"BR","type":"nonprofit","lineage":["https://openalex.org/I1329807341"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Sergio F. Chevtchenko","raw_affiliation_strings":["ISI-TICs - SENAI Innovation Institute for Information and Communication Technologies"],"affiliations":[{"raw_affiliation_string":"ISI-TICs - SENAI Innovation Institute for Information and Communication Technologies","institution_ids":["https://openalex.org/I1329807341"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045316886","display_name":"Lucas F. S. Cambuim","orcid":"https://orcid.org/0000-0001-5577-7368"},"institutions":[{"id":"https://openalex.org/I1329807341","display_name":"Servi\u00e7o Nacional de Aprendizagem Industrial","ror":"https://ror.org/035c3nf67","country_code":"BR","type":"nonprofit","lineage":["https://openalex.org/I1329807341"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Lucas F. S. Cambuim","raw_affiliation_strings":["ISI-TICs - SENAI Innovation Institute for Information and Communication Technologies"],"affiliations":[{"raw_affiliation_string":"ISI-TICs - SENAI Innovation Institute for Information and Communication Technologies","institution_ids":["https://openalex.org/I1329807341"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035004380","display_name":"Rafael M. Macieira","orcid":"https://orcid.org/0000-0003-2592-0842"},"institutions":[{"id":"https://openalex.org/I1329807341","display_name":"Servi\u00e7o Nacional de Aprendizagem Industrial","ror":"https://ror.org/035c3nf67","country_code":"BR","type":"nonprofit","lineage":["https://openalex.org/I1329807341"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rafael M. Macieira","raw_affiliation_strings":["ISI-TICs - SENAI Innovation Institute for Information and Communication Technologies"],"affiliations":[{"raw_affiliation_string":"ISI-TICs - SENAI Innovation Institute for Information and Communication Technologies","institution_ids":["https://openalex.org/I1329807341"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088457412"],"corresponding_institution_ids":["https://openalex.org/I1329807341"],"apc_list":null,"apc_paid":null,"fwci":2.4789,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.92392562,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"155","last_page":"162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994999766349792,"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":0.9994999766349792,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9987000226974487,"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":0.7213091850280762},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6800074577331543},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6597164869308472},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5675520896911621},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5125834345817566},{"id":"https://openalex.org/keywords/pallet","display_name":"Pallet","score":0.4964333176612854},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4959960877895355},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4792749583721161},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4500572383403778},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4420194625854492},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.41318345069885254},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39705541729927063},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.361003041267395},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10895726084709167}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7213091850280762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6800074577331543},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6597164869308472},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5675520896911621},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5125834345817566},{"id":"https://openalex.org/C51413319","wikidata":"https://www.wikidata.org/wiki/Q505996","display_name":"Pallet","level":2,"score":0.4964333176612854},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4959960877895355},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4792749583721161},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4500572383403778},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4420194625854492},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.41318345069885254},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39705541729927063},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.361003041267395},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10895726084709167},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems 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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccp60212.2023.10398722","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iccp60212.2023.10398722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th International Conference on Intelligent Computer Communication and Processing (ICCP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1549280300","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2085261163","https://openalex.org/W2106411961","https://openalex.org/W2549899326","https://openalex.org/W2769236095","https://openalex.org/W2949676527","https://openalex.org/W2963037989","https://openalex.org/W3093616484","https://openalex.org/W3109792549","https://openalex.org/W3198214496","https://openalex.org/W3208826636","https://openalex.org/W4200318341","https://openalex.org/W4280571816","https://openalex.org/W4308331008","https://openalex.org/W6632662516","https://openalex.org/W6676179485","https://openalex.org/W6803118227","https://openalex.org/W6893711219"],"related_works":["https://openalex.org/W59439004","https://openalex.org/W2094299241","https://openalex.org/W575696998","https://openalex.org/W368706031","https://openalex.org/W572765140","https://openalex.org/W2342739646","https://openalex.org/W610320743","https://openalex.org/W2626136638","https://openalex.org/W4366437295","https://openalex.org/W4251858511"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,18],"optimization":[4,61],"and":[5,40,46,51,55,78,97,114,122],"multiobjective":[6],"evaluation":[7],"of":[8,23,49,81,120],"deep":[9],"learning":[10],"(DL)":[11],"models":[12,86],"to":[13],"improve":[14],"pallet":[15],"localization":[16,98],"with":[17],"RGB-D":[19],"camera":[20],"in":[21,141],"scenarios":[22],"forklift":[24],"insertion.":[25],"To":[26],"this":[27],"end,":[28],"we":[29],"experimentally":[30],"evaluate":[31],"three":[32,83],"distinct":[33],"DL":[34],"models:":[35],"Detectron2":[36],"for":[37,43,53,89,127,136],"combined":[38],"detection":[39,44,54],"segmentation,":[41],"YoloV5":[42,50,113],"only,":[45],"a":[47,64,73,90,117,137,142],"combination":[48],"UNet":[52,115],"segmentation.":[56],"Through":[57],"the":[58,108,131],"automatic":[59],"hyperparameter":[60],"process":[62],"on":[63],"custom":[65],"dataset,":[66],"30":[67],"configurations":[68],"were":[69,87],"selected,":[70],"each":[71,101],"demonstrating":[72],"unique":[74],"trade-off":[75],"between":[76],"precision":[77],"speed.":[79],"Out":[80],"these,":[82],"Pareto":[84],"optimal":[85],"chosen":[88],"more":[91],"detailed":[92],"analysis,":[93],"considering":[94],"inference":[95],"speed":[96,121],"errors":[99],"along":[100],"orthogonal":[102],"axis.":[103],"The":[104],"results":[105],"suggest":[106],"that":[107],"proposed":[109,132],"hybrid":[110],"model":[111,133],"combining":[112],"exhibited":[116],"promising":[118],"balance":[119],"accuracy,":[123],"making":[124],"it":[125],"suitable":[126],"real-time":[128],"applications.":[129],"Finally,":[130],"is":[134],"demonstrated":[135],"fork":[138],"insertion":[139],"task":[140],"new":[143],"environment.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}
