{"id":"https://openalex.org/W4401414864","doi":"https://doi.org/10.1109/tim.2024.3440405","title":"Two-Stage Super-Resolution for Classical 3-D Tactile Sensor Arrays With DT-Driven Enhancement","display_name":"Two-Stage Super-Resolution for Classical 3-D Tactile Sensor Arrays With DT-Driven Enhancement","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401414864","doi":"https://doi.org/10.1109/tim.2024.3440405"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3440405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3440405","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5051168011","display_name":"Zhikai Hu","orcid":"https://orcid.org/0000-0003-1759-1196"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhikai Hu","raw_affiliation_strings":["School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1759-1196","affiliations":[{"raw_affiliation_string":"School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076758401","display_name":"Zhongyi Chu","orcid":"https://orcid.org/0000-0003-2129-2615"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyi Chu","raw_affiliation_strings":["School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2129-2615","affiliations":[{"raw_affiliation_string":"School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086698657","display_name":"Yijie Wang","orcid":"https://orcid.org/0000-0002-3991-4796"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijie Wang","raw_affiliation_strings":["School of Mechanical Engineering and Applied Electronics, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3991-4796","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Applied Electronics, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089220020","display_name":"Jing Cui","orcid":"https://orcid.org/0000-0003-2642-3696"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Cui","raw_affiliation_strings":["School of Mechanical Engineering and Applied Electronics, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2642-3696","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Applied Electronics, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5192,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64243464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10369","display_name":"Advanced MEMS and NEMS Technologies","score":0.9884999990463257,"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"}},"topics":[{"id":"https://openalex.org/T10369","display_name":"Advanced MEMS and NEMS Technologies","score":0.9884999990463257,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tactile-sensor","display_name":"Tactile sensor","score":0.7347636222839355},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.42779773473739624},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.38954177498817444},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3876813054084778},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3794408440589905},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37418127059936523},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.3731876015663147},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32709985971450806},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.16747578978538513}],"concepts":[{"id":"https://openalex.org/C46722567","wikidata":"https://www.wikidata.org/wiki/Q7674139","display_name":"Tactile sensor","level":3,"score":0.7347636222839355},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.42779773473739624},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.38954177498817444},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3876813054084778},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3794408440589905},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37418127059936523},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3731876015663147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32709985971450806},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.16747578978538513}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3440405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3440405","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G6888254392","display_name":null,"funder_award_id":"52375006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W2050692652","https://openalex.org/W2066878366","https://openalex.org/W2068769477","https://openalex.org/W2103654576","https://openalex.org/W2115895912","https://openalex.org/W2141655728","https://openalex.org/W2200175238","https://openalex.org/W2787996313","https://openalex.org/W2866634454","https://openalex.org/W2901110287","https://openalex.org/W2949733326","https://openalex.org/W2956286142","https://openalex.org/W2958709801","https://openalex.org/W2962688712","https://openalex.org/W2963882606","https://openalex.org/W2967434365","https://openalex.org/W3011275252","https://openalex.org/W3022972893","https://openalex.org/W3102054150","https://openalex.org/W3130589561","https://openalex.org/W3190390090","https://openalex.org/W3196588585","https://openalex.org/W3201732967","https://openalex.org/W4205912149","https://openalex.org/W4210657146","https://openalex.org/W4224221992","https://openalex.org/W4281764496","https://openalex.org/W4283785642","https://openalex.org/W4304974801","https://openalex.org/W4309258842","https://openalex.org/W4312349825","https://openalex.org/W4313484944","https://openalex.org/W4313546642","https://openalex.org/W4321380835","https://openalex.org/W4366256893","https://openalex.org/W4366668620","https://openalex.org/W4384519010","https://openalex.org/W4385569709"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"While":[0],"3-D":[1,7,67],"tactile":[2,32,84,93,138,212],"sensor":[3,63,85],"arrays":[4,64,86],"featuring":[5],"traditional":[6],"measurement":[8,68],"structures":[9,69],"have":[10],"been":[11],"extensively":[12],"studied,":[13],"their":[14,19],"limited":[15],"spatial":[16],"resolution":[17,199],"hinders":[18],"ability":[20],"to":[21,47,130],"perceive":[22],"small":[23,203],"objects":[24,204],"during":[25],"dexterous":[26],"manipulation.":[27,230],"Moreover,":[28],"existing":[29],"works":[30],"on":[31,73],"super-resolution":[33],"(SR)":[34],"still":[35],"suffer":[36],"from":[37],"lack":[38],"of":[39,77,82,137,165,172,192,207,218,228],"contour":[40],"perception,":[41],"mapping":[42],"accuracy,":[43],"and":[44,91,109,132,140,169,183,196,221],"difficult":[45],"access":[46],"SR":[48,54,94,110,117,181,211],"datasets.":[49,95],"Therefore,":[50],"a":[51,97,141],"prominent":[52],"two-stage":[53,116],"algorithm":[55],"with":[56,65,145,175],"digital-twin":[57],"(DT)-driven":[58],"enhancement":[59,108],"is":[60,87,103,119,124,149],"proposed":[61,105,125],"for":[62,89,106,156,185,202,224],"classical":[66],"(C3DMS).":[70],"First,":[71],"based":[72],"the":[74,79,122,127,135,153,163,166,170,176,186,216,226],"intrinsic":[75],"features":[76,147],"C3DMS,":[78],"DT-driven":[80,107],"observation":[81],"low-/high-resolution":[83],"introduced":[88],"reliable":[90],"accurate":[92],"Second,":[96],"novel":[98],"deconstructive":[99],"interpolative":[100],"upsampling":[101],"(DIU)":[102],"then":[104],"multiplier":[111],"augmentation.":[112],"Furtherly,":[113],"an":[114],"interpolation-convolution":[115],"network":[118,129,144,178],"designed,":[120],"where":[121],"DIU":[123],"as":[126,152],"first-stage":[128],"effectively":[131],"accurately":[133],"increase":[134],"scale":[136],"information,":[139],"convolutional":[142],"neural":[143],"channel":[146],"learning":[148],"further":[150],"constructed":[151],"second":[154],"stage":[155],"high-quality":[157],"quadruple":[158,180],"SR.":[159],"Comprehensive":[160],"experiments":[161],"demonstrate":[162],"reliability":[164],"DT":[167],"dataset":[168],"effectiveness":[171],"our":[173],"approach,":[174],"DT-trained":[177],"achieving":[179],"(PSNR:31.12":[182],"SSIM:0.965)":[184],"self-made":[187],"sensor,":[188],"enabling":[189],"clear":[190],"recognition":[191],"complex":[193],"Braille":[194],"letters":[195],"higher":[197],"positioning":[198],"(0.625":[200],"mm)":[201],"(e.g.,":[205],"connector":[206],"RF":[208,219],"antennas).":[209],"Our":[210],"sensing":[213],"framework":[214],"realizes":[215],"assembly":[217],"antennas":[220],"holds":[222],"promise":[223],"enhancing":[225],"dexterity":[227],"robotic":[229]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2024-08-09T00:00:00"}