{"id":"https://openalex.org/W4400077541","doi":"https://doi.org/10.1109/med61351.2024.10566189","title":"A GAN-Based Domain Adapted Deep Learning Pipeline for Object Detection in an Intralogistics Warehouse Environment","display_name":"A GAN-Based Domain Adapted Deep Learning Pipeline for Object Detection in an Intralogistics Warehouse Environment","publication_year":2024,"publication_date":"2024-06-11","ids":{"openalex":"https://openalex.org/W4400077541","doi":"https://doi.org/10.1109/med61351.2024.10566189"},"language":"en","primary_location":{"id":"doi:10.1109/med61351.2024.10566189","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/med61351.2024.10566189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Mediterranean Conference on Control and Automation (MED)","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/A5102748437","display_name":"Mohammad Rashed","orcid":"https://orcid.org/0000-0002-1652-1359"},"institutions":[{"id":"https://openalex.org/I230091363","display_name":"German Jordanian University","ror":"https://ror.org/02jgpyd84","country_code":"JO","type":"education","lineage":["https://openalex.org/I230091363"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Mohammad Rashed","raw_affiliation_strings":["German Jordanian University,Mechanical Eng. Department,Amman,Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"German Jordanian University,Mechanical Eng. Department,Amman,Jordan","institution_ids":["https://openalex.org/I230091363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079289901","display_name":"Mohamed H. Bakr","orcid":"https://orcid.org/0000-0002-3749-2657"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohamed Bakr","raw_affiliation_strings":["STILL GmbH,Technology and Innovation Department,Hamburg,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STILL GmbH,Technology and Innovation Department,Hamburg,Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025300030","display_name":"Hisham ElMoaqet","orcid":"https://orcid.org/0000-0003-3698-3216"},"institutions":[{"id":"https://openalex.org/I230091363","display_name":"German Jordanian University","ror":"https://ror.org/02jgpyd84","country_code":"JO","type":"education","lineage":["https://openalex.org/I230091363"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Hisham ElMoaqet","raw_affiliation_strings":["German Jordanian University,Mechatronics Eng. Department,Amman,Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"German Jordanian University,Mechatronics Eng. Department,Amman,Jordan","institution_ids":["https://openalex.org/I230091363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2913,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52348684,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"2021","issue":null,"first_page":"209","last_page":"214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13382","display_name":"Robotics and Automated Systems","score":0.9290000200271606,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13382","display_name":"Robotics and Automated Systems","score":0.9290000200271606,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/pipeline","display_name":"Pipeline (software)","score":0.765137255191803},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7229747176170349},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6001178622245789},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5048728585243225},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49048683047294617},{"id":"https://openalex.org/keywords/warehouse","display_name":"Warehouse","score":0.4520473778247833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.404889315366745},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.24153640866279602},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.19686177372932434},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.055128008127212524}],"concepts":[{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.765137255191803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7229747176170349},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6001178622245789},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5048728585243225},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49048683047294617},{"id":"https://openalex.org/C50416739","wikidata":"https://www.wikidata.org/wiki/Q181623","display_name":"Warehouse","level":2,"score":0.4520473778247833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.404889315366745},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.24153640866279602},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.19686177372932434},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.055128008127212524},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/med61351.2024.10566189","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/med61351.2024.10566189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Mediterranean Conference on Control and Automation (MED)","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":26,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1982696459","https://openalex.org/W2165698076","https://openalex.org/W2577946330","https://openalex.org/W2593414223","https://openalex.org/W2605102758","https://openalex.org/W2795289540","https://openalex.org/W2962793481","https://openalex.org/W2962947361","https://openalex.org/W2963767194","https://openalex.org/W2981630388","https://openalex.org/W3039883906","https://openalex.org/W3101577715","https://openalex.org/W3101799466","https://openalex.org/W3107803166","https://openalex.org/W3108316907","https://openalex.org/W3130930461","https://openalex.org/W4247726808","https://openalex.org/W4308831279","https://openalex.org/W6620707391","https://openalex.org/W6732248266","https://openalex.org/W6734074887","https://openalex.org/W6746282794","https://openalex.org/W6756444276","https://openalex.org/W6864332406","https://openalex.org/W6963427263"],"related_works":["https://openalex.org/W3135624046","https://openalex.org/W4399515993","https://openalex.org/W2392996360","https://openalex.org/W4388421435","https://openalex.org/W598244552","https://openalex.org/W4308822502","https://openalex.org/W3135357310","https://openalex.org/W4316464861","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"Perception":[0],"is":[1,44,53,115,132,169],"crucial":[2],"for":[3,86,105,149],"Autonomous":[4],"Mobile":[5],"Robots":[6],"(AMRs)":[7],"operating":[8],"in":[9,27,37,50,72,108,153,156,171],"warehouses":[10],"to":[11,134],"recognize":[12],"load":[13],"carriers":[14],"using":[15,197],"vision-based":[16],"guiding":[17],"systems.":[18],"Convolutional":[19],"Neural":[20],"Networks":[21,66],"(CNN":[22],"s),":[23],"while":[24],"frequently":[25],"utilized":[26],"object":[28,106],"detection":[29,107,113,195],"networks,":[30],"exhibit":[31],"significant":[32],"performance":[33,71,186],"degradation":[34],"when":[35],"evaluated":[36,148],"new":[38],"environments.":[39],"Although":[40],"creating":[41],"computer":[42],"simulations":[43],"a":[45,83,99,109,124,157],"straight-forward":[46],"option,":[47],"their":[48],"usefulness":[49],"real-world":[51,158],"applications":[52],"restricted":[54],"by":[55,192],"stylistic":[56,89],"disparities":[57],"between":[58,91,138],"simulated":[59,92],"and":[60,93,120,141,200],"real":[61,125,142],"data.":[62,95,203],"Recently,":[63],"Generative":[64],"Adversarial":[65],"(GANs)":[67],"have":[68],"demonstrated":[69],"improved":[70],"Unpaired":[73],"Image-to-Image":[74],"Translation":[75],"(UNIT)":[76],"tasks,":[77],"indicating":[78],"that":[79,165,188],"they":[80],"might":[81],"be":[82,190],"viable":[84],"choice":[85],"reducing":[87],"the":[88,136,139,166,173,178,184,194],"difference":[90],"actual":[94],"This":[96],"work":[97],"proposes":[98],"domain":[100,175],"adaptation-based":[101],"deep":[102],"learning":[103],"pipeline":[104,114],"warehouse":[110,126,159],"setting.":[111],"The":[112,144,162],"trained":[116],"with":[117],"synthetic":[118,140,202],"data":[119],"then":[121],"tested":[122],"on":[123,183],"dataset.":[127,161],"A":[128],"UNIT":[129],"GAN":[130,145,167],"model":[131,146,168],"used":[133],"bridge":[135],"gap":[137],"worlds.":[143],"was":[147],"its":[150],"overall":[151],"efficacy":[152],"recognizing":[154],"pallets":[155],"testing":[160],"findings":[163],"indicate":[164],"effective":[170],"bridging":[172],"synthetic-real":[174],"gap.":[176],"Finally,":[177],"study":[179],"gives":[180],"fresh":[181],"insight":[182],"potential":[185],"enhancements":[187],"may":[189],"achieved":[191],"training":[193],"network":[196],"both":[198],"adapted":[199],"non-adapted":[201]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}