{"id":"https://openalex.org/W7147312216","doi":"https://doi.org/10.1109/lascas67804.2026.11457117","title":"Edge-Accelerated Monocular Depth Estimation: A Quantized U-Net on Kria KV260 for Real-Time Interior Scenarios","display_name":"Edge-Accelerated Monocular Depth Estimation: A Quantized U-Net on Kria KV260 for Real-Time Interior Scenarios","publication_year":2026,"publication_date":"2026-02-24","ids":{"openalex":"https://openalex.org/W7147312216","doi":"https://doi.org/10.1109/lascas67804.2026.11457117"},"language":null,"primary_location":{"id":"doi:10.1109/lascas67804.2026.11457117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lascas67804.2026.11457117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 17th Latin America Symposium on Circuits and System (LASCAS)","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/A5021169882","display_name":"Nicol\u00e1s Urbano Pintos","orcid":null},"institutions":[{"id":"https://openalex.org/I128590013","display_name":"National Technological University","ror":"https://ror.org/04t730v47","country_code":"AR","type":"education","lineage":["https://openalex.org/I128590013"]}],"countries":["AR"],"is_corresponding":true,"raw_author_name":"Nicol\u00e1s Urbano Pintos","raw_affiliation_strings":["Grupo TAMA, UTN FRH,Haedo,Argentina"],"affiliations":[{"raw_affiliation_string":"Grupo TAMA, UTN FRH,Haedo,Argentina","institution_ids":["https://openalex.org/I128590013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001805629","display_name":"Emanuel Trabes","orcid":"https://orcid.org/0000-0003-1294-8985"},"institutions":[{"id":"https://openalex.org/I130929987","display_name":"University of Mons","ror":"https://ror.org/02qnnz951","country_code":"BE","type":"education","lineage":["https://openalex.org/I130929987"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Emanuel Trabes","raw_affiliation_strings":["SEMI, UMons,Mons,Belgium"],"affiliations":[{"raw_affiliation_string":"SEMI, UMons,Mons,Belgium","institution_ids":["https://openalex.org/I130929987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132672633","display_name":"Carlos Valderrama","orcid":null},"institutions":[{"id":"https://openalex.org/I130929987","display_name":"University of Mons","ror":"https://ror.org/02qnnz951","country_code":"BE","type":"education","lineage":["https://openalex.org/I130929987"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Carlos Valderrama","raw_affiliation_strings":["SEMI, UMons,Mons,Belgium"],"affiliations":[{"raw_affiliation_string":"SEMI, UMons,Mons,Belgium","institution_ids":["https://openalex.org/I130929987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132606816","display_name":"Alaeddine Aajouj","orcid":null},"institutions":[{"id":"https://openalex.org/I130929987","display_name":"University of Mons","ror":"https://ror.org/02qnnz951","country_code":"BE","type":"education","lineage":["https://openalex.org/I130929987"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Alaeddine Aajouj","raw_affiliation_strings":["SEMI, UMons,Mons,Belgium"],"affiliations":[{"raw_affiliation_string":"SEMI, UMons,Mons,Belgium","institution_ids":["https://openalex.org/I130929987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055522432","display_name":"H\u00e9ctor Lacomi","orcid":"https://orcid.org/0009-0001-4736-232X"},"institutions":[{"id":"https://openalex.org/I4210113979","display_name":"Institute of Scientific and Technical Research for Defense","ror":"https://ror.org/0313pb684","country_code":"AR","type":"facility","lineage":["https://openalex.org/I4210113979"]}],"countries":["AR"],"is_corresponding":false,"raw_author_name":"H\u00e9ctor Lacomi","raw_affiliation_strings":["DRL-CITEDEF,Grupo ASE-UTN FRH,Bs. As.,Argentina"],"affiliations":[{"raw_affiliation_string":"DRL-CITEDEF,Grupo ASE-UTN FRH,Bs. As.,Argentina","institution_ids":["https://openalex.org/I4210113979"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5021169882"],"corresponding_institution_ids":["https://openalex.org/I128590013"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.91057009,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.8271999955177307,"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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.8271999955177307,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.10199999809265137,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.019700000062584877,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.664900004863739},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6435999870300293},{"id":"https://openalex.org/keywords/monocular-vision","display_name":"Monocular vision","score":0.428600013256073},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.41359999775886536},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.3840999901294708},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.3806999921798706},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.32690000534057617},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.3188000023365021}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7317000031471252},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.664900004863739},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6435999870300293},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5874999761581421},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5605000257492065},{"id":"https://openalex.org/C158829959","wikidata":"https://www.wikidata.org/wiki/Q1640606","display_name":"Monocular vision","level":2,"score":0.428600013256073},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.41359999775886536},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.3840999901294708},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.3806999921798706},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37450000643730164},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.32690000534057617},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.3188000023365021},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.3188000023365021},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3086000084877014},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2939999997615814},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.27559998631477356},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.2619999945163727},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C49154492","wikidata":"https://www.wikidata.org/wiki/Q5300","display_name":"Central processing unit","level":2,"score":0.2533999979496002},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lascas67804.2026.11457117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lascas67804.2026.11457117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 17th Latin America Symposium on Circuits and System (LASCAS)","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":8,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1901129140","https://openalex.org/W2963488291","https://openalex.org/W3046423621","https://openalex.org/W3161426305","https://openalex.org/W4214520160","https://openalex.org/W4318353744","https://openalex.org/W4388726680"],"related_works":[],"abstract_inverted_index":{"Real-time":[0],"monocular":[1],"depth":[2],"estimation":[3],"(MDE)":[4],"is":[5],"pivotal":[6],"for":[7,36],"edge":[8],"applications":[9],"like":[10],"autonomous":[11],"indoor":[12],"navigation":[13],"and":[14,47,68,101],"AR/VR,":[15],"yet":[16],"achieving":[17],"it":[18],"on":[19,43,110],"power-constrained":[20],"devices":[21],"remains":[22],"a":[23,57,63,76,80,93,103],"significant":[24],"challenge.":[25],"This":[26,74],"work":[27],"presents":[28],"an":[29,69,97],"optimized,":[30],"INT8-quantized":[31],"U-Net":[32,95],"model":[33],"specifically":[34],"designed":[35],"the":[37,44,50,106,111],"Xilinx":[38],"Kria":[39],"KV260":[40],"FPGA.":[41],"Trained":[42],"NYUDepthV2":[45],"dataset":[46],"compiled":[48],"using":[49],"Vitis":[51],"AI":[52],"toolchain,":[53],"our":[54],"implementation":[55],"achieves":[56],"throughput":[58],"of":[59,65,71,105],"41.03":[60],"FPS":[61],"with":[62],"latency":[64],"24.3":[66],"ms":[67],"RMSE":[70],"0.9553":[72],"m.":[73],"represents":[75],"2.27\u00d7":[77],"speedup":[78],"over":[79],"desktop-grade":[81],"Intel":[82],"i7-11700K":[83],"CPU":[84],"while":[85],"maintaining":[86],"comparable":[87],"precision.":[88],"Our":[89],"contributions":[90],"include:":[91],"(i)":[92],"FPGAtailored":[94],"(ii)":[96],"efficient":[98],"quantization-to-DPU":[99],"workflow,":[100],"(iii)":[102],"demonstration":[104],"real-time":[107],"MDE":[108],"indoors":[109],"KV260.":[112]},"counts_by_year":[],"updated_date":"2026-04-02T13:53:19.096889","created_date":"2026-04-02T00:00:00"}